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Paper Citation Record · LEDGER

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity

As of 10 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 0 inbound Pith citation observations for arXiv:2608.00623.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.00623 v1

Coverage vector

measured 100 of 127 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:38:04.430420Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 127 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved81
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aada235b-d8ac-4d31-ad7c-035dfb33eba2 · outbound

This paper cites Journal of Statistical Mechanics: Theory and Experiment , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Journal of Statistical Mechanics: Theory and Experiment , volume=

Reference 1

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source=arxiv_source observed=2026-08-05T00:38:04.161751Z digest=sha256:fdc521e154b1411946edb64f2af1203f8bbb42a600dcfcc8981ae6e7d6b93aa8

Observation 8ecc764f-aa34-4e92-b89e-623747663057 · outbound

This paper cites Nature Communications , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Nature Communications , volume=

Reference 2

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source=arxiv_source observed=2026-08-05T00:38:04.164940Z digest=sha256:e1fccbbadea8511af2d4954eee16b6abc701c77d8eedd45847544cee5168a687

Observation cfd9a312-63b5-4959-87a1-35dd6e238876 · outbound

This paper cites IEEE Journal of Translational Engineering in Health and Medicine , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity IEEE Journal of Translational Engineering in Health and Medicine , year=

Reference 3

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source=arxiv_source observed=2026-08-05T00:38:04.167732Z digest=sha256:7d5482f92a4b2a8317504e3cdb2483c99a52b97f4821acaf31e77f758e38ac7a

Observation c0283c8f-6c00-4a1f-93f5-cf12173614a6 · outbound

This paper cites Bioinformatics , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Bioinformatics , volume=

Reference 4

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source=arxiv_source observed=2026-08-05T00:38:04.170856Z digest=sha256:d6ca36e92a377dcf0d90fdf861ecbb5100ab3fde52d4deb2b2ece5d8475f52b9

Observation 0a262e90-cf30-4ed5-a09e-215ceedd87a1 · outbound

This paper cites bioRxiv , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity bioRxiv , pages=

Reference 5

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source=arxiv_source observed=2026-08-05T00:38:04.173665Z digest=sha256:b09e118a41250ad7844df437f3ab37ba1a70ba4ed6515366a9a162a47388ca62

Observation 27e3b13c-dd08-47c3-9617-699cfc5be869 · outbound

This paper cites Expert Systems , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Expert Systems , pages=

Reference 6

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source=arxiv_source observed=2026-08-05T00:38:04.176612Z digest=sha256:a929b9d1fa8039abce0a23afaeebb8ebf3a6f6179b374c6fd261d1b21c50871a

Observation 6ad6e450-180a-495f-b436-3764f9854af2 · outbound

This paper cites Predictive Intelligence in Medicine: 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Predictive Intelligence in Medicine: 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings , pages=

Reference 7

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source=arxiv_source observed=2026-08-05T00:38:04.179714Z digest=sha256:9e849fb33d970cef470b00104143e9d04de7f47b3b49a48d2b8047d6bfd0b0cc

Observation d5445e3d-79ba-4a13-92b8-d1a78108209e · outbound

This paper cites Bioinformatics , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Bioinformatics , volume=

Reference 8

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source=arxiv_source observed=2026-08-05T00:38:04.182798Z digest=sha256:673f32b602bd5129e8ff2541c8f0c6ba3c5fdb83e303f34346f0616913d27f62

Observation c4266f8f-b06a-4add-af8b-0155c86dc3db · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity IEEE Journal of Biomedical and Health Informatics , year=

Reference 9

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source=arxiv_source observed=2026-08-05T00:38:04.185729Z digest=sha256:25cec9813ee96e61963d783d2cdf55d6d6d0eb22319994ef173b03589e7c9990

Observation 9ebae401-f950-4eab-a8f9-f91d817725fb · outbound

This paper cites Proceedings of the ACM Web Conference, WWW , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the ACM Web Conference, WWW , pages=

Reference 10

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source=arxiv_source observed=2026-08-05T00:38:04.188456Z digest=sha256:2ae59fa5f41e480ab2d2d444b0901f7d6d2b3bfdf622e587e615ab72634645b7

Observation e65210b7-cf31-4569-ac8f-2cfd7702b3bd · outbound

This paper cites Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM , pages=

Reference 11

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source=arxiv_source observed=2026-08-05T00:38:04.191601Z digest=sha256:9700c21306a92806afd43f80f57185db356a04aee214b6940902883f538d2d08

Observation 7dbc70a2-1172-42d0-a192-b7cf94b4c1d8 · outbound

This paper cites International Conference on Learning Representations, ICLR , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International Conference on Learning Representations, ICLR , year=

Reference 12

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source=arxiv_source observed=2026-08-05T00:38:04.194553Z digest=sha256:9e4aa5e755f82cd4f4f2868f266caf082ef1c5bc73b9e86d9c8037f3e65b2f2c

Observation 46f92535-7e36-418f-b8e3-326dcd9f6cea · outbound

This paper cites IEEE Transactions on Industrial Informatics , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity IEEE Transactions on Industrial Informatics , year=

Reference 13

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Observation 5996578d-a4f3-4568-ae87-988547e77d69 · outbound

This paper cites IEEE Transactions on Industrial Informatics , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity IEEE Transactions on Industrial Informatics , volume=

Reference 14

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source=arxiv_source observed=2026-08-05T00:38:04.200462Z digest=sha256:dfb21cdd27888417b10c761a78c2392b10d087e485cec7368ac61f4fc0932b4a

Observation f44159fe-b9ca-42c2-aca6-de3df1e63579 · outbound

This paper cites Vertical Federated Graph Neural Network for Recommender System.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Vertical Federated Graph Neural Network for Recommender System

Reference 15

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source=arxiv_source observed=2026-08-05T00:38:04.203238Z digest=sha256:6ba4e1863fdd65d16f582bf32b771f47f1765180102e89316cdb6214d4261058

Observation 53db5f3e-3af6-4a63-9d06-9c93e062b06a · outbound

This paper cites Intelligent Systems with Applications , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Intelligent Systems with Applications , pages=

Reference 16

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source=arxiv_source observed=2026-08-05T00:38:04.206197Z digest=sha256:d6cda3b4f0b11cbc8be879f6b75f21f33223c52da4ac6d25d4e482b7ffb46eb6

Observation 3341f363-ef93-4c3e-bb76-f52c5b6edf84 · outbound

This paper cites Pacific-Asia Conference on Knowledge Discovery and Data Mining , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Pacific-Asia Conference on Knowledge Discovery and Data Mining , pages=

Reference 17

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source=arxiv_source observed=2026-08-05T00:38:04.208873Z digest=sha256:5c2fc0ca0f0318d974d001f783029fd24827d6c85d80c414d4f80f52d93b843c

Observation 30176a89-a434-4095-a4ca-7cbe0d642f37 · outbound

This paper cites 2023 IEEE 6th Information Technology, Networking, Electronic and Automation Control Conference , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity 2023 IEEE 6th Information Technology, Networking, Electronic and Automation Control Conference , volume=

Reference 18

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Observation 4a6a4a6c-7b94-4fb6-b03b-073c5c9b6b24 · outbound

This paper cites 2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity 2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) , pages=

Reference 19

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source=arxiv_source observed=2026-08-05T00:38:04.214033Z digest=sha256:dc201541edf7d98003cf37a7db13b5f490562feeec3ba6b7482b648e970d4e1c

Observation 7a6763d1-3d7d-41e6-a211-b016fc08954d · outbound

This paper cites ACM Computing Surveys , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity ACM Computing Surveys , volume=

Reference 20

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source=arxiv_source observed=2026-08-05T00:38:04.216609Z digest=sha256:6ea0dc0a87ba0acf2165809df1f87f67dbb907758901abae7b9562c1d4edbb08

Observation 0cf61c45-a5fa-401a-8811-5d5d535c2f8b · outbound

This paper cites IEEE Transactions on Dependable and Secure Computing , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity IEEE Transactions on Dependable and Secure Computing , year=

Reference 21

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source=arxiv_source observed=2026-08-05T00:38:04.219387Z digest=sha256:e832bd283566d7573f3ab13786d1663b5b4936b0c6000be2c690ac197b335ee6

Observation fcc806f5-2cb5-4164-9856-9b175b0d4153 · outbound

This paper cites Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, KDD , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, KDD , pages=

Reference 22

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source=arxiv_source observed=2026-08-05T00:38:04.221903Z digest=sha256:414965a2c713ad9ce71de85399006aeb6b02eda9aac2c9ef115976ecb22bf74c

Observation c74d4b56-f009-427b-91d7-af8e002e9439 · outbound

This paper cites 2012 , publisher=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity 2012 , publisher=

Reference 23

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source=arxiv_source observed=2026-08-05T00:38:04.224762Z digest=sha256:4e043e737c8a7ba8c01998e616faf6ef07ab6411d77159c755f832978f847cf6

Observation bb7fbdac-609f-4494-9c5b-af0a5c7bfdde · outbound

This paper cites International conference on machine learning , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International conference on machine learning , pages=

Reference 24

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source=arxiv_source observed=2026-08-05T00:38:04.227371Z digest=sha256:9c2c4cb3e215852ac392d185296b8c0770145dce90b4b573ecec23fb9df56e7d

Observation f47e8a47-a7d8-4018-a39a-ce888362348f · outbound

This paper cites Applied Sciences , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Applied Sciences , volume=

Reference 25

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source=arxiv_source observed=2026-08-05T00:38:04.230005Z digest=sha256:0557c5d0170214f77c8adebbcccbf483e0e0bf7a8b9bc6db49b4c0f8c5d596b9

Observation 280840a4-a36d-46d2-a71e-331914879a70 · outbound

This paper cites Federated Learning with Personalization Layers.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Federated Learning with Personalization Layers

Reference 26

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source=arxiv_source observed=2026-08-05T00:38:04.232592Z digest=sha256:786870668910a4414145d961b6d9523a82821e91b62dd0b821f27bf6a407d4a2

Observation ef13a45f-9710-4b83-8bed-1570830bb1a1 · outbound

This paper cites Knowledge-Based Systems , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Knowledge-Based Systems , volume=

Reference 27

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Observation 17226707-5df3-421f-b02f-282e67c60750 · outbound

This paper cites International journal of machine learning and cybernetics , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International journal of machine learning and cybernetics , volume=

Reference 28

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source=arxiv_source observed=2026-08-05T00:38:04.237859Z digest=sha256:bfdac4d031659d8f7a449384b0ac70b0620ea4af81ec29d4aa700efe7b29d8b0

Observation 9063cac7-8f54-4254-bd41-3ead6db3212b · outbound

This paper cites Artificial intelligence and statistics , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Artificial intelligence and statistics , pages=

Reference 29

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source=arxiv_source observed=2026-08-05T00:38:04.240272Z digest=sha256:ff8d14241a7c44cb3e4ed3bca8afba23dfa1c67fbd755f14501934d5fd124dee

Observation 30551b46-3f0f-4afe-b853-3f9562237c40 · outbound

This paper cites International conference on theory and applications of models of computation , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International conference on theory and applications of models of computation , pages=

Reference 30

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source=arxiv_source observed=2026-08-05T00:38:04.243020Z digest=sha256:5314ba093afcead6bcf51466760ff04a88de6287d6f833377a28a5f885c7933e

Observation a915852c-6976-489c-94bf-c1b8e2b2e3d6 · outbound

This paper cites Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=

Reference 31

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source=arxiv_source observed=2026-08-05T00:38:04.245612Z digest=sha256:794106aa2b689695f4136e374460010369fa970697eb08ce652952fa2f59b50a

Observation d53c565d-6b8c-4abe-86a7-6340a80ca9c7 · outbound

This paper cites Proceedings of Machine learning and systems , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of Machine learning and systems , volume=

Reference 32

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source=arxiv_source observed=2026-08-05T00:38:04.248224Z digest=sha256:b8a4caf9f50d69beb576eec611ea9e239edb5dd77a0f34dba2ebf85371379eb3

Observation 53b4f2db-fa63-4300-be35-5410bb753130 · outbound

This paper cites FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Reference 33

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source=arxiv_source observed=2026-08-05T00:38:04.251575Z digest=sha256:796a9070770c8dcbc6a245fe774cfdf1be44855fd1358ef534f7429088de8501

Observation f8f977f5-4285-4479-a104-77a0458596d2 · outbound

This paper cites International conference on machine learning , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International conference on machine learning , pages=

Reference 34

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source=arxiv_source observed=2026-08-05T00:38:04.254735Z digest=sha256:d03af0fee365154d433d1918f4e90024c04f4762f18fc3124f29f003d1e8e5fe

Observation dde78aa1-7c04-4086-8dc7-2cda56800ba6 · outbound

This paper cites Advances in neural information processing systems , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Advances in neural information processing systems , volume=

Reference 35

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Observation 14a30461-5078-4ff5-9fed-703445039adf · outbound

This paper cites Proceedings of the VLDB Endowment , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the VLDB Endowment , year=

Reference 36

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source=arxiv_source observed=2026-08-05T00:38:04.260128Z digest=sha256:2c86fe5d63ed3cc281200065bb3b1cbb67c2363ce6c7d49f05d676d0627a27b2

Observation 2c82557d-f7c0-415f-8fad-36fc2840bd8d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 37

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Observation 55bf2e19-28e5-4334-a4ca-11754b06826b · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Forty-second International Conference on Machine Learning , year=

Reference 38

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no resolver link, observed 2026-08-05T00:38:04.265338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.265338Z digest=sha256:0f0ac73706ee69f7192e80ea432a2ce7f3252fd697689ba0bbf965ed789c36e5

Observation 6840d80c-f250-468b-933d-0d8bbfd22ac8 · outbound

This paper cites Neural Networks , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Neural Networks , pages=

Reference 39

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no resolver link, observed 2026-08-05T00:38:04.267871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.267871Z digest=sha256:a3aa43d6b2cdac08ff293905524ce9640b6e25fe0796a925c56d6e483985ca0c

Observation c77dceb4-5c03-405f-bbce-9151c0809bc2 · outbound

This paper cites 2024 , eprint=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity 2024 , eprint=

Reference 40

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no resolver link, observed 2026-08-05T00:38:04.270461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.270461Z digest=sha256:c5cdd913e2472a7a44d65643c744c828e57484609b2c910c3dc93d24574f3746

Observation 0da4918c-b7a6-4c17-a32d-800e2cb71e4d · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 41

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no resolver link, observed 2026-08-05T00:38:04.273179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.273179Z digest=sha256:169d4575844fc4bef12dd005fe4efeba32176dc2eb4de7dc924a10ba5e15d389

Observation e2b99253-7656-4ec4-ac62-e439eabf459a · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 42

Resolution
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no resolver link, observed 2026-08-05T00:38:04.275891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.275891Z digest=sha256:28896eb291055d2b7158378b8466b8e2dfe20adb5e425ff2a5076f5175ca1db3

Observation 0394063f-cc32-452f-b0ec-86e1cb863c16 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.278618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.278618Z digest=sha256:54bb7c8f9195eba71713165b41551378786c42088c31f3d1d0a5c2e043fc5ec5

Observation 0e7f7525-3796-4a00-80a5-2cb3cfe1dbb2 · outbound

This paper cites 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.281086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.281086Z digest=sha256:67cdb1ce44f41b2fd2e671a67f60c309e58cb47b4de399fc53d3fb084d5fe690

Observation 3637eb29-7f3f-4ca1-a981-3ecfbf9ecb9c · outbound

This paper cites S2FGL: Spatial Spectral Federated Graph Learning.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity S2FGL: Spatial Spectral Federated Graph Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.283607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.283607Z digest=sha256:f0aa4fa6b5c2a76036b98a22ac38a9c8b0d2186f4c7f508c8aafd52797157762

Observation 60f26041-d44f-40cb-866c-198551aef9a8 · outbound

This paper cites Advances in neural information processing systems , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Advances in neural information processing systems , volume=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.286712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.286712Z digest=sha256:4f6ed3ff32f4ecda1a6a6f0669515b4d919a1623558c09cc40767ee3543a2f79

Observation b8db044e-ba37-4a10-8634-8fd033355a0d · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.289187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.289187Z digest=sha256:e3a524d4f0648cf79a45bc7f6ba5b5ab95cb65b81d128da5543d39b22d6db508

Observation 051099de-ad7a-48ca-b5a2-fff4b8a941d0 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.292292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.292292Z digest=sha256:3dc82c89a0d7f52b41dd12e377aa3f8e459b7a5302e8922893bf2189d0b42464

Observation 7fca1c4e-d308-49bd-8d83-bd1b72a5c6ae · outbound

This paper cites Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.295161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.295161Z digest=sha256:52fd096a6e31e37694025a6bb0be634a31c983e0f9a8b8d530070a9011f6f8a1

Observation 3312f099-8ceb-4024-a384-86cecac56039 · outbound

This paper cites BMC bioinformatics , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity BMC bioinformatics , volume=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.298108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.298108Z digest=sha256:ed914cb85955d00d4a856737bae4ff04eab663a79e0c798e3bcd09b0de1538e8

Observation a99c1339-db5d-402f-924b-6a13c97ffd16 · outbound

This paper cites an unresolved cited work.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.300687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.300687Z digest=sha256:0b425b22b9dd905682aa1c7e38fbbd4bb5d2b4dd1e631f3725ac502a9a2632f6

Observation 3202837a-1da3-45ad-91e4-80d6a9379ae4 · outbound

This paper cites Journal of machine learning research , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Journal of machine learning research , volume=

Reference 52

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unresolved
no resolver link, observed 2026-08-05T00:38:04.303209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.303209Z digest=sha256:8a61c1667de570f2376dff759de94919ac7d208ded5f1b0672961e44146f0173

Observation cf25f6a4-819f-4763-a036-9e8d143a63d5 · outbound

This paper cites Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.305629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.305629Z digest=sha256:26c43263ba5052a33525fcb58d78d921d98b0e51ac2d912145b159b5b439b398

Observation 72163ef2-7919-4a40-9a7d-3b421a8ef6a0 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity DINOv2: Learning Robust Visual Features without Supervision

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.308620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.308620Z digest=sha256:914d399946549dbbf9d1675934b8e8ee6f58ae452f17e81d3eb3505b6648815d

Observation 0c3a7007-ed46-4075-9c70-7d19ef1c8db9 · outbound

This paper cites 2020 , eprint=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity 2020 , eprint=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.643420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.311891Z digest=sha256:81e211661e48772c0d033ed65affa8d5be089398ca2dcc4ea0f7773bdfa2e2e4

Observation 20832e15-9048-49d8-904c-c9a7316c1a89 · outbound

This paper cites Proceedings of the ACM on Web Conference 2025 , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the ACM on Web Conference 2025 , pages=

Reference 56

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unresolved
no resolver link, observed 2026-08-05T00:38:04.314428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.314428Z digest=sha256:993d04b19a0ec8d3337eb5852a04b6a4794370016abeaadbfad25d440499e1c5

Observation da64bf08-4bba-40e3-bfaf-ec4a0655b627 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.627431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.317950Z digest=sha256:57d44bb29267729fd0139b5753ce121f9e61d35e2a1569258b8a1e9b219fa83d

Observation d7a87912-05b5-4dbd-8a44-8f72cb9ecb3f · outbound

This paper cites Multimodal Graph Learning for Generative Tasks.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Multimodal Graph Learning for Generative Tasks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.320464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.320464Z digest=sha256:617813665b893f5a7c34d57be307ae20f6da3be7940238050685f02753bb9fc1

Observation 6d9d5752-1d2f-4a43-8316-8ba2819ba9fb · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Advances in Neural Information Processing Systems , volume=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.617789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.323085Z digest=sha256:7f3de73bce4e59b6443ea4e1f710f97ddfce01520ee52d2861f652e64797c2a6

Observation 0675ca3e-1412-4655-908b-b9b747746edc · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.607571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.325526Z digest=sha256:fa32686f10c9e443cd2e320bb10f1f311a9b3cb30765057ab60f29264b76ebc7

Observation 5f5c356d-54ba-4f53-ab80-94e74b4ab5d8 · outbound

This paper cites Information Processing & Management , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Information Processing & Management , volume=

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.328390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.328390Z digest=sha256:452437c77a32d74a82f808c0b18ab30d4fad9830b6f15e9ba6f1b90328716960

Observation 36e2724a-7621-47ab-856c-5c98b1fe4593 · outbound

This paper cites Proceedings of the 27th ACM international conference on multimedia , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 27th ACM international conference on multimedia , pages=

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.330933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.330933Z digest=sha256:9e4f3b11c7ec74a5ba293be3a362fa2ac68870e1163a067c2e14bc8be4dba1ae

Observation 9e92f969-7131-4c5c-b0bf-eda67f8a4316 · outbound

This paper cites Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.585456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.333436Z digest=sha256:4efe837a0beebd6aedb43513442a8a8899e3e918ad8d54572214d34aed989644

Observation 1a859886-80f3-42c5-9598-74ca4080dbbd · outbound

This paper cites Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.575951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.335894Z digest=sha256:b92317c1b85402b7e9218607faf7c96bd09aefa22d34521660cce74668acfe1c

Observation edb6cfc6-1042-49fb-a1c7-980b1c9a0a39 · outbound

This paper cites ACM Transactions on Multimedia Computing, Communications and Applications , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity ACM Transactions on Multimedia Computing, Communications and Applications , volume=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.566873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.339176Z digest=sha256:946271395ca543c9116b428ecae3bd7395ee505d0adf7ff3a4caf753ba74892f

Observation 37af85f8-8d9d-400b-99aa-bdf89572abe1 · outbound

This paper cites arXiv preprint arXiv:2511.20030 , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity arXiv preprint arXiv:2511.20030 , year=

Reference 66

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unresolved
no resolver link, observed 2026-08-05T00:38:04.341733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.341733Z digest=sha256:c6cf79491580a09584336bab161f3b2fa521f56b2704906f8853a03bc9db3301

Observation 0982944f-d6d5-4ba7-8ee8-b8a2942cb124 · outbound

This paper cites arXiv preprint arXiv:2601.22416 , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity arXiv preprint arXiv:2601.22416 , year=

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.344305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.344305Z digest=sha256:68fe338264b998e3d8dc59671412b810e55e28a34d648152b8f6000121400614

Observation 5b0be1b1-1611-4cbc-9657-fe7926a1261d · outbound

This paper cites International conference on multimedia modeling , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International conference on multimedia modeling , pages=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.558058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.347188Z digest=sha256:aba68238816e94afa943cd52b33b2ca35090f2179c5233efcfc49dc042a17880

Observation 90ec5e7b-cf14-4023-9feb-64e35a51e5b8 · outbound

This paper cites Proceedings of the 2023 conference on empirical methods in natural language processing , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 2023 conference on empirical methods in natural language processing , pages=

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.549234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.349753Z digest=sha256:1ab7fe3f809c5c75b9ad43136c5e9d96ced1f8d11c033da78d506428fe5f3492

Observation 0f9f6cd5-98eb-44d6-bce6-77ced6394645 · outbound

This paper cites Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.352319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.352319Z digest=sha256:8a3e9fe9779a31ef64882dd8fe47908e652238eb7bd57975a34ba2c8d0eb5486

Observation 09d72cf6-ca1e-4fd4-914b-81495cfadc65 · outbound

This paper cites ECCV Workshops (2) , series=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity ECCV Workshops (2) , series=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.534373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.355034Z digest=sha256:2d8d8a008eb98773d7b15b4ff321ad5799d9d15c1dcf597b5cb7a55437330733

Observation 84d013d5-c860-4899-a4e0-7383d02fe6ca · outbound

This paper cites Proceedings of the IEEE International Conference on Computer Vision, ICCV , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the IEEE International Conference on Computer Vision, ICCV , year=

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.357546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.357546Z digest=sha256:ab04997654a0be51680c7436b4e3041faa45bf881fd14ef076810b326f52afdb

Observation 99fdc0d9-8892-485d-b30a-c23ff0189676 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.360327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.360327Z digest=sha256:d4d853c70ef67bea289b16f48cdb8c3528c164e0ecb388fa6f36e7a0501958ef

Observation d23f9e65-dc59-414c-8cd6-39fcce237176 · outbound

This paper cites Proceedings of the 12th ACM conference on recommender systems , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 12th ACM conference on recommender systems , pages=

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.519530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.363194Z digest=sha256:ff7e1524e68f85c1f9ea420274a4a5b49e903857865d816ba0dfe7056f682c5a

Observation 28689887-6da4-4519-b263-1b982ee9faac · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.510140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.365711Z digest=sha256:fd4aa669630e499b3669416b3312ec97b35a9333751628fac6f319b41f631289

Observation e7588dba-0244-4030-b30e-fc1c1a056f14 · outbound

This paper cites Advances in Neural Information Processing Systems, NeurIPS, Datasets and Benchmarks Track, NeurIPS DB Track , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Advances in Neural Information Processing Systems, NeurIPS, Datasets and Benchmarks Track, NeurIPS DB Track , year=

Reference 76

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unresolved
no resolver link, observed 2026-08-05T00:38:04.368188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.368188Z digest=sha256:54e393fb0d7e449d4d6b24c5bc45173412a8fe5203e0bfcdba1e84701682f78b

Observation 7c97690a-b6d6-4710-8def-d406ec4b0914 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 77

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unresolved
no resolver link, observed 2026-08-05T00:38:04.370691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.370691Z digest=sha256:3f1827bacb458da336f175171ad9fad3a2aba9b723dbbd9073d5152fde4a9338

Observation 6308d954-c375-4e65-9f25-2b53b3cff313 · outbound

This paper cites an unresolved cited work.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Unresolved cited work

Reference 78

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unresolved
no resolver link, observed 2026-08-05T00:38:04.373394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.373394Z digest=sha256:d3f4ecb3c7ed1f01b2a4a3766176610e95e584f3fb8174c54f89be5000da6815

Observation bf1afdef-a923-4b5b-a40a-dde76ae33746 · outbound

This paper cites IEEE transactions on neural networks and learning systems , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity IEEE transactions on neural networks and learning systems , volume=

Reference 79

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no resolver link, observed 2026-08-05T00:38:04.375895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.375895Z digest=sha256:c87eb45d913c958c6109a879a4f15e518c14a76fdede37124e514a1d1060d86c

Observation 4fb3e517-632d-44b0-a0a8-1d30f9d29718 · outbound

This paper cites AI Open , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity AI Open , volume=

Reference 80

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unresolved
no resolver link, observed 2026-08-05T00:38:04.378598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.378598Z digest=sha256:5d65e65c601135b33069d091dcad518f36bfdd335d0ac6c6750fed8e89932bfa

Observation 3e3a8c2f-1805-4dae-b289-d4b40936e987 · outbound

This paper cites OpenFGL: A Comprehensive Benchmark for Federated Graph Learning.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity OpenFGL: A Comprehensive Benchmark for Federated Graph Learning

Reference 81

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no resolver link, observed 2026-08-05T00:38:04.381449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.381449Z digest=sha256:a409b35d461bdccde289029670e5bef62c4828c3586a06be9ec6e01ad17cf1e0

Observation 6baba410-7ae2-4636-ac01-6396ba5a3bcf · outbound

This paper cites arXiv preprint arXiv:2601.21453 , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity arXiv preprint arXiv:2601.21453 , year=

Reference 82

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verified exact
raw_fallback, observed 2026-08-05T00:38:04.970318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.384237Z digest=sha256:3e469f74ea729576ae8f757257a59ebd7a4ab7a86032c071e3b7a19c25ebed2c

Observation d89687eb-286d-4459-a5b7-d8d78687cfac · outbound

This paper cites IEEE Transactions on Signal Processing , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity IEEE Transactions on Signal Processing , volume=

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.473264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.386805Z digest=sha256:dd4e32f1533abe16c16547e202be4aab0f4c8536fb6fe8d60bff5b48e3d08e05

Observation 834736c9-5d36-4c02-bd36-f2fd00a0e3be · outbound

This paper cites Combinatorics, Paul erdos is eighty , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Combinatorics, Paul erdos is eighty , volume=

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.464455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.389390Z digest=sha256:712cf43f24f33b55bf37df3241c0eb8ddc17979a8f59c49cfbc7b5d7cae0a565

Observation 8344beb4-a991-45f5-8ef4-a97ec77a13b5 · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Spectral Networks and Locally Connected Networks on Graphs

Reference 85

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no resolver link, observed 2026-08-05T00:38:04.392102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.392102Z digest=sha256:7040f47a15c63dfa886f161801a4c515ecf8adede1b7a4033c37d24cedf13607

Observation 7d8a5417-a7b9-4aff-8666-903270ee17aa · outbound

This paper cites Proceedings of the 27th international conference on machine learning (ICML-10) , pages=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the 27th international conference on machine learning (ICML-10) , pages=

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.456002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.395238Z digest=sha256:9d46deea5574e84dc9bf65af77acef6f9b60660ddd5efb13a4cd07b62258e3f8

Observation 08cb6fb3-514c-41b8-909f-0ce39321bd83 · outbound

This paper cites International Conference on Learning Representations, ICLR , year =.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International Conference on Learning Representations, ICLR , year =

Reference 87

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unresolved
no resolver link, observed 2026-08-05T00:38:04.397650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.397650Z digest=sha256:b30f6ba626971b1ab451696b947fa5c4c63169f4892e748e76dd4a40f110061e

Observation ea623df5-40b1-4359-b531-b6d9849e4e15 · outbound

This paper cites Advances in Neural Information Processing Systems, NeurIPS , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Advances in Neural Information Processing Systems, NeurIPS , year=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.441866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.400182Z digest=sha256:1da93266ae4adb19c56de80d390f1ebbd5e52ad676aed4af920c779cfbce97e9

Observation 43209f7f-8535-4ea9-94dd-b58fa3857dc7 · outbound

This paper cites International Conference on Learning Representations, ICLR , year =.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International Conference on Learning Representations, ICLR , year =

Reference 89

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unresolved
no resolver link, observed 2026-08-05T00:38:04.403054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.403054Z digest=sha256:31425d62c3008850258f26cd35b46814bd72de8593ac192478770fd82d7fbaca

Observation dae6725d-c817-4ef1-a8a3-64b2140d8889 · outbound

This paper cites International Conference on Learning Representations, ICLR , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International Conference on Learning Representations, ICLR , year=

Reference 90

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no resolver link, observed 2026-08-05T00:38:04.405541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.405541Z digest=sha256:a83580aa58184fdc69b95569622c9834054b30f14a084ec76c044cf5ad53a2a1

Observation 0335cd73-d3b2-4c63-9bd9-e389b6569ec1 · outbound

This paper cites 2022 , journal=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity 2022 , journal=

Reference 91

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no resolver link, observed 2026-08-05T00:38:04.408036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.408036Z digest=sha256:b7a22600deed9acc5aa88f1623ed7828fa5940643154dd4717a85b125d5e20a1

Observation 09c967dd-a494-4e56-9ee1-fe1e3962b491 · outbound

This paper cites International Conference on Machine Learning, ICML , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International Conference on Machine Learning, ICML , year=

Reference 92

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verified fuzzy
raw_fallback, observed 2026-08-05T00:38:05.416809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T00:38:04.410517Z digest=sha256:d0b6c859a912adf520ea7e98fc79dc70ee7f5687488099433c71306adbe7313d

Observation 10c32af6-e36f-4bd2-978c-0ee89b6b411b · outbound

This paper cites MLaGA: Multimodal Large Language and Graph Assistant.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity MLaGA: Multimodal Large Language and Graph Assistant

Reference 93

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unresolved
no resolver link, observed 2026-08-05T00:38:04.412992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.412992Z digest=sha256:0bbae9a7e37695968b507ba744cf7ee54d7dc01bd2b20a0769d4da63d922a22d

Observation 4dd3314e-82d6-4a23-b615-f3caa857f276 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference, CVPR , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the Computer Vision and Pattern Recognition Conference, CVPR , year=

Reference 94

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unresolved
no resolver link, observed 2026-08-05T00:38:04.415687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.415687Z digest=sha256:f0e7ec656257f3ef4fd4b061eedb2e12c3ec6f45cf8d1cececf3be22c9f95e3d

Observation dee52518-7b91-4507-840c-0b61cccaf548 · outbound

This paper cites Proceedings of the International Conference on Machine Learning, ICML , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the International Conference on Machine Learning, ICML , year=

Reference 95

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unresolved
no resolver link, observed 2026-08-05T00:38:04.417923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.417923Z digest=sha256:f53ac111716e67039bdf315d6a7850736f26bc7e88488c494363b41f97ba3e72

Observation b51c6683-1025-40a9-8410-ad4b8deeb31e · outbound

This paper cites Proceedings of the ACM International Conference on Multimedia, MM , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the ACM International Conference on Multimedia, MM , year=

Reference 96

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unresolved
no resolver link, observed 2026-08-05T00:38:04.420344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.420344Z digest=sha256:cc699fe462d2488bf2374550c9f8d7a91e7cd9327e4465649f58dbe0effe6d06

Observation 75cd851c-8155-4f23-b601-5be1d6aff378 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence, AAAI , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the AAAI Conference on Artificial Intelligence, AAAI , year=

Reference 97

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unresolved
no resolver link, observed 2026-08-05T00:38:04.422990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.422990Z digest=sha256:b67be3c3abfb0d7148ba2ab76d410f94b4f66c6177cdfd6b9a4e5fc3495f286a

Observation 8ef73e37-c2dd-4613-8142-11fa27e59ca1 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence, AAAI , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Proceedings of the AAAI Conference on Artificial Intelligence, AAAI , year=

Reference 98

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unresolved
no resolver link, observed 2026-08-05T00:38:04.425507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.425507Z digest=sha256:b2d0d02a833150f4be0d271cdd1c06baf2fa5480c7fc001301d940afb80fb2a4

Observation 47bd51d8-3d59-48b2-bd74-4ac74615d263 · outbound

This paper cites International Conference on Machine Learning, ICML , year=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity International Conference on Machine Learning, ICML , year=

Reference 99

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unresolved
no resolver link, observed 2026-08-05T00:38:04.427900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.427900Z digest=sha256:d82030ce6ada76458178a572a6b689513bf00e27bbd951fc65836e613515a84e

Observation a11484ae-7155-45ed-9538-bdbf1693e705 · outbound

This paper cites Nature Machine Intelligence , volume=.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Nature Machine Intelligence , volume=

Reference 100

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unresolved
no resolver link, observed 2026-08-05T00:38:04.430420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.430420Z digest=sha256:4269934fa935bfebb71da6d89f6bf72eea93d27b7eeb7144da3c8038fcb282c6

Pith citing papers

No inbound Pith citation observations are available.