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Paper Citation Record · LEDGER

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.27303.

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

pith.paper-citation-record.v1
2607.27303 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:58:40.874577Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

30 of 30 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c13233b7-cecb-4418-aac4-6bb7a3a7c97b · outbound

This paper cites Billion-Scale Graph Foundation Models.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Billion-Scale Graph Foundation Models

Reference 1

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Observation 9cc2eca3-e515-4038-b81f-ab886474f014 · outbound

This paper cites Natural Language Engineering23(1), 155–162 (2017), https://doi.org/10.1017/S1351324916000334.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Natural Language Engineering23(1), 155–162 (2017), https://doi.org/10.1017/S1351324916000334

Reference 2

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Observation 60f57bc9-a406-400b-b83d-8a0bfa775b21 · outbound

This paper cites Heterogeneous Temporal Graph Neural Network.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Heterogeneous Temporal Graph Neural Network

Reference 3

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source=pdf_text observed=2026-08-01T09:58:37.853203Z digest=sha256:dbe094273894a7e053f7ccf709921231f7afb6c1325c2737e70affb873a5fb1a

Observation 6fdd5035-a3a0-419d-9110-14ebd2e52ff0 · outbound

This paper cites A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges

Reference 4

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Observation d5dff1d1-8ae1-4649-870d-0fdc4fa5dbef · outbound

This paper cites In: Proceedings of The Web Confer- ence 2020.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of The Web Confer- ence 2020

Reference 5

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Observation 1f0c4592-6d63-4f11-b0fa-d327c5087dd9 · outbound

This paper cites ACM Computing Surveys54(4), 1–37 (2021), https://doi.org/ 10.1145/3447772.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model ACM Computing Surveys54(4), 1–37 (2021), https://doi.org/ 10.1145/3447772

Reference 6

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Observation 046ceda8-0c9c-4051-91d8-c849a3bd2822 · outbound

This paper cites In: Proceedings of the AAAI 18 Y.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the AAAI 18 Y

Reference 7

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doi, observed 2026-08-01T10:03:29.018831Z

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Observation 2373ea57-5968-4296-b834-8c67b20d19d7 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 8

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Observation 6d76a771-d65d-45f3-81f6-7490faf6cfd4 · outbound

This paper cites In: Pro- ceedings of The Web Conference 2020.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Pro- ceedings of The Web Conference 2020

Reference 9

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Observation 02edd8ed-3157-4809-a6c6-e3596edbdfcf · outbound

This paper cites Knowledge-Based Systems339, 115514 (2026), https://www.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Knowledge-Based Systems339, 115514 (2026), https://www

Reference 10

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Observation 2142e000-5b40-472b-bc08-2915e126393c · outbound

This paper cites Data Science and Engineering8, 98–111 (2023), https://doi.org/10.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Data Science and Engineering8, 98–111 (2023), https://doi.org/10

Reference 11

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Observation 616b79d6-9c9a-4e1b-beb8-a1debb112cb8 · outbound

This paper cites In: 2024 IEEE 40th International Conference on Data Engineering (ICDE).

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: 2024 IEEE 40th International Conference on Data Engineering (ICDE)

Reference 12

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Observation 08443809-87df-4521-af18-d0cf9bb470d7 · outbound

This paper cites Journal of King Saud University Computer and Information Sciences37, 191 (2025), https://doi.org/ 10.1007/s44443-025-00222-z.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Journal of King Saud University Computer and Information Sciences37, 191 (2025), https://doi.org/ 10.1007/s44443-025-00222-z

Reference 13

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4fd167cd-5d7c-424e-b296-b8b41c046300 · outbound

This paper cites Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains

Reference 14

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Observation cfa1600a-61b4-459c-857c-17757956cc3f · outbound

This paper cites In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 15

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Observation 879fc75d-a645-4adc-81b1-35e819c15647 · outbound

This paper cites In: Proceedings of the 26th ACM SIGKDD Conference on Knowl- edge Discovery and Data Mining.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the 26th ACM SIGKDD Conference on Knowl- edge Discovery and Data Mining

Reference 16

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Observation cacb4448-b59c-413a-b76f-7e7f7ad82ca4 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 17

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Observation 6f9eaff5-17f4-4013-9863-4baed9b7c168 · outbound

This paper cites an unresolved cited work.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Unresolved cited work

Reference 18

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Observation 9b4f6bf9-9c44-41e1-a94d-e9d718ccc4af · outbound

This paper cites In: Proceedings of the 2023 International Conference on Machine Learning and Cybernetics.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the 2023 International Conference on Machine Learning and Cybernetics

Reference 19

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Observation f02d34b5-aedd-426e-ba71-8e8f3f6731c0 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 20

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Observation 47942389-4b8f-462f-bb72-2c938855bc19 · outbound

This paper cites In: International Conference on Learning Representations (2020), https://openreview.net/forum?id=BylA_C4tPr.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: International Conference on Learning Representations (2020), https://openreview.net/forum?id=BylA_C4tPr

Reference 21

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Observation ed2dc7b4-42ab-429b-9de0-8d7186e6ae11 · outbound

This paper cites Quantitative Science Studies1(1), 396–413 (2020), https://doi.org/10.1162/qss_a_00021.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Quantitative Science Studies1(1), 396–413 (2020), https://doi.org/10.1162/qss_a_00021

Reference 22

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Observation e83b850c-85ab-4a5b-8699-affc1201c8fa · outbound

This paper cites In: Proceedings of The World Wide Web Conference.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of The World Wide Web Conference

Reference 23

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Observation 57420b35-d77d-4220-8ea9-331bb70d67d8 · outbound

This paper cites In: International Conference on Learning Represen- tations (2020), https://openreview.net/forum?id=rJeW1yHYwH.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: International Conference on Learning Represen- tations (2020), https://openreview.net/forum?id=rJeW1yHYwH

Reference 24

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Observation 285a130a-62c3-4602-91b0-2d5c9774fc44 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intel- ligence.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the AAAI Conference on Artificial Intel- ligence

Reference 25

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Observation cedc71fb-58df-403a-9aac-ce2ec60ac160 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering35(2), 1637–1650 (2023), https://doi.org/10.1109/TKDE.2021.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model IEEE Transactions on Knowledge and Data Engineering35(2), 1637–1650 (2023), https://doi.org/10.1109/TKDE.2021

Reference 26

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Observation 53fe7885-3c2a-4e36-bcca-175f53786bb6 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Advances in Neural Information Processing Systems

Reference 27

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Observation 2ec790f6-35b7-489c-9d33-939c908e9d75 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering35(6), 5935–5947 (2023), https://doi.org/10.1109/TKDE.2022.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model IEEE Transactions on Knowledge and Data Engineering35(6), 5935–5947 (2023), https://doi.org/10.1109/TKDE.2022

Reference 28

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Observation 34536b0a-c9c5-4553-9a8a-c6431dac1e24 · outbound

This paper cites In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Reference 29

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Observation 094d9e5b-b20e-4581-9360-17d27100e64b · outbound

This paper cites Heta: Distributed Training of Heterogeneous Graph Neural Networks.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Heta: Distributed Training of Heterogeneous Graph Neural Networks

Reference 30

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Pith citing papers

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