Paper Citation Record · LEDGER

Disentangling Homophily and Heterophily in Multimodal Graph Clustering

As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2507.15253.

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

pith.paper-citation-record.v1
2507.15253 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:42:37.821432Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:36:40.432193Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:20.673920Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8acbb52-51a9-4182-bd96-82afb39ee3f5 · outbound

This paper cites Graph heterogeneous multi-relational recommendation.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Graph heterogeneous multi-relational recommendation

Reference 1

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Observation 8b1fac0b-6fc6-484b-993e-4a8cc153a69a · outbound

This paper cites Polygcl: Graph contrastive learning via learnable spectral polynomial filters.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Polygcl: Graph contrastive learning via learnable spectral polynomial filters

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:40.706425Z

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Observation 516bf66b-1617-47bc-a634-ca8870b21073 · outbound

This paper cites Hybrid transformer with multi-level fusion for multimodal knowledge graph completion.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Hybrid transformer with multi-level fusion for multimodal knowledge graph completion

Reference 3

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Observation 7c94806d-ddac-400e-8d69-598c2019c4e9 · outbound

This paper cites Adaptive Universal Generalized PageRank Graph Neural Network.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Adaptive Universal Generalized PageRank Graph Neural Network

Reference 4

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Observation 3eada0f4-3615-41de-b133-9fa84380aabe · outbound

This paper cites Multimodal learning with graphs.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Multimodal learning with graphs

Reference 5

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Observation bf5ca5ce-20f6-4ab3-94f3-30e35c7aedf9 · outbound

This paper cites One2multi graph autoencoder for multi-view graph clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering One2multi graph autoencoder for multi-view graph clustering

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:40.642875Z

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Observation 9b8048cb-94be-4255-8ed1-b0e0aed637a2 · outbound

This paper cites Slaps: Self-supervision improves structure learning for graph neural networks, 2021.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Slaps: Self-supervision improves structure learning for graph neural networks, 2021

Reference 7

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Observation 00bc107d-9af5-4248-b09b-ccae2df10183 · outbound

This paper cites Magnn: Metapath aggre- gated graph neural network for heterogeneous graph embedding.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Magnn: Metapath aggre- gated graph neural network for heterogeneous graph embedding

Reference 8

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Observation 5d6ed8f8-3fec-4ceb-b04a-55b6b1c96c77 · outbound

This paper cites Predict then propagate: Graph neural networks meet personalized pagerank.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Predict then propagate: Graph neural networks meet personalized pagerank

Reference 9

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Observation eb6ba1b3-b64c-4ccf-9f4c-e00dadcf2a36 · outbound

This paper cites Imagebind: One embedding space to bind them all.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Imagebind: One embedding space to bind them all

Reference 10

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Observation 79e3f18c-d916-4d5a-93dc-ccc0322479d5 · outbound

This paper cites Gromov-wasserstein multi-modal alignment and clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Gromov-wasserstein multi-modal alignment and clustering

Reference 11

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Observation c1b3ace1-fb13-4cd9-bc29-e3f8c2e373f5 · outbound

This paper cites Mixed-modality clustering via generative graph structure matching.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Mixed-modality clustering via generative graph structure matching

Reference 12

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Observation fc4d3241-d3d3-4647-9df5-c20037d625d9 · outbound

This paper cites Unigraph2: Learning a unified embedding space to bind multimodal graphs.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Unigraph2: Learning a unified embedding space to bind multimodal graphs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:40.349195Z

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Observation b3c18b3b-cdc8-474f-a4b0-76d001f61bfc · outbound

This paper cites Unigraph2: Learning a unified embedding space to bind multimodal graphs.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Unigraph2: Learning a unified embedding space to bind multimodal graphs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:40.333382Z

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Observation 1dad5c56-9eeb-4e3d-a0a5-20d2adb0252d · outbound

This paper cites Multimodal heterogeneous graph attention network.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Multimodal heterogeneous graph attention network

Reference 15

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Observation 27743a25-7e55-4055-b975-b1864c86d198 · outbound

This paper cites Learning mul- timodal graph-to-graph translation for molecule optimization.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Learning mul- timodal graph-to-graph translation for molecule optimization

Reference 16

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Observation 46d0ffb8-1239-4e1e-a19b-320f953036ed · outbound

This paper cites Hdmi: High-order deep multiplex infomax.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Hdmi: High-order deep multiplex infomax

Reference 17

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Observation 40cd9d13-1aee-45ff-a146-008dc162cd7f · outbound

This paper cites Cdc: A simple framework for complex data clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Cdc: A simple framework for complex data clustering

Reference 18

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Observation 7937fc71-5f7f-4cbb-92aa-ee0c02887f13 · outbound

This paper cites Kipf and Max Welling.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Kipf and Max Welling

Reference 19

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Observation 5b3b523b-1848-45ca-8cd4-8b95edf4ca33 · outbound

This paper cites A multimodal graph neural network framework for cancer molecular subtype classification.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering A multimodal graph neural network framework for cancer molecular subtype classification

Reference 20

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Observation 96ae348f-54b0-47a7-a58e-b0b3ebc2dec9 · outbound

This paper cites Imf: Interactive multimodal fusion model for link prediction.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Imf: Interactive multimodal fusion model for link prediction

Reference 21

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Observation 689702e0-cce1-45d1-82ee-e457bcea4a10 · outbound

This paper cites Multi-view attrib- uted graph clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Multi-view attrib- uted graph clustering

Reference 22

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Observation c13a777f-126c-43bc-b050-270c02d30424 · outbound

This paper cites Self-supervised learning: Generative or contrastive.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Self-supervised learning: Generative or contrastive

Reference 23

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Observation dfa73fee-42cf-4182-acde-39af8e160a4d · outbound

This paper cites Relation structure-aware heterogeneous information network embedding.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Relation structure-aware heterogeneous information network embedding

Reference 24

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Observation 699089d3-6038-45a8-b46b-9beeeffcdb1b · outbound

This paper cites The heterophilic graph learning handbook: Benchmarks, models, theoretical analysis, applications and challenges.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering The heterophilic graph learning handbook: Benchmarks, models, theoretical analysis, applications and challenges

Reference 25

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Observation 80a093aa-2bc8-40e9-8dfc-440f194f96d1 · outbound

This paper cites Revisiting heterophily for graph neural networks.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Revisiting heterophily for graph neural networks

Reference 26

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This paper cites Multiplex graph representation learning via dual correlation reduction.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Multiplex graph representation learning via dual correlation reduction

Reference 27

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Observation 7c2a9a6b-6800-411d-8350-fea6913424bb · outbound

This paper cites Disentangled multiplex graph representation learning.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Disentangled multiplex graph representation learning

Reference 28

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Observation f770b577-3eab-4d69-a3ec-2e00782aaf99 · outbound

This paper cites Multi-view contrastive graph clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Multi-view contrastive graph clustering

Reference 29

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Observation 487ecdba-52de-49eb-bc47-0dd603890b9d · outbound

This paper cites Beyond homophily: Reconstructing structure for graph-agnostic clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Beyond homophily: Reconstructing structure for graph-agnostic clustering

Reference 30

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Observation b3f712fd-e101-4641-b975-f42e175e53ed · outbound

This paper cites Unsupervised attributed multiplex network embedding.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Unsupervised attributed multiplex network embedding

Reference 31

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Observation d2587302-d9b7-45b0-aa7b-ffa355b6781b · outbound

This paper cites Learning on Multimodal Graphs: A Survey.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Learning on Multimodal Graphs: A Survey

Reference 32

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This paper cites Upper bounding barlow twins: A novel filter for multi-relational clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Upper bounding barlow twins: A novel filter for multi-relational clustering

Reference 33

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Observation ed02b719-014b-479c-8b55-67867cb6b6e3 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Learning transferable visual models from natural language supervision

Reference 34

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This paper cites Balanced multi-relational graph clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Balanced multi-relational graph clustering

Reference 35

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Observation 1f3986a2-3251-4bed-b4ed-bc6b036544e6 · outbound

This paper cites When heterophily meets heterogeneous graphs: Latent graphs guided unsupervised representation learning.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering When heterophily meets heterogeneous graphs: Latent graphs guided unsupervised representation learning

Reference 36

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Observation 6c9d2abf-f4a2-482f-b05f-ade705709040 · outbound

This paper cites Beyond redundancy: Information- aware unsupervised multiplex graph structure learning.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Beyond redundancy: Information- aware unsupervised multiplex graph structure learning

Reference 37

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This paper cites Mgat: Multimodal graph attention network for recommendation.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Mgat: Multimodal graph attention network for recommendation

Reference 38

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Observation d31e8489-411f-4e0f-9633-2879c4c03e52 · outbound

This paper cites Variable kernel density estimation.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Variable kernel density estimation

Reference 39

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This paper cites Hamilton, Pietro Liò, Yoshua Bengio, and R Devon Hjelm.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Hamilton, Pietro Liò, Yoshua Bengio, and R Devon Hjelm

Reference 40

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Observation 3cf2b29c-507d-44f3-89a0-caf0f27c919d · outbound

This paper cites An information criterion for controlled disentanglement of multimodal data, 2025.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering An information criterion for controlled disentanglement of multimodal data, 2025

Reference 41

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Observation 1929180d-d893-4b6a-8150-9419ae2c4e07 · outbound

This paper cites Cooperation of experts: Fusing heterogeneous information with large margin.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Cooperation of experts: Fusing heterogeneous information with large margin

Reference 42

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Observation a0be00b8-809d-47db-892e-09d232b0572d · outbound

This paper cites Tiva-kg: A multimodal knowledge graph with text, image, video and audio.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Tiva-kg: A multimodal knowledge graph with text, image, video and audio

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:38.086142Z

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Observation bd16aab0-7b42-4bba-a1a3-c4507845d955 · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimination.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Unsupervised feature learning via non-parametric instance discrimination

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:38.066649Z

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Observation a555168f-b468-47c3-b746-7428f3b39ea0 · outbound

This paper cites A comprehensive survey on graph neural networks.IEEE Transactions on Neural Networks and Learning Systems , 32(1):4–24, 2020.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering A comprehensive survey on graph neural networks.IEEE Transactions on Neural Networks and Learning Systems , 32(1):4–24, 2020

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:38.043849Z

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Observation 74302973-f316-40ba-b291-7ba7f5983589 · outbound

This paper cites Graph embedding contrastive multi-modal representation learning for clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Graph embedding contrastive multi-modal representation learning for clustering

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:38.024413Z

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Observation 0fd410b2-dc58-406d-9ecf-344be8af18cb · outbound

This paper cites One node one model: Featuring the missing-half for graph clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering One node one model: Featuring the missing-half for graph clustering

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:38.002476Z

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Observation 4615db79-2bc5-4cad-b993-75fe2d07e391 · outbound

This paper cites When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning

Reference 48

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Observation 5440ed29-eb73-45f3-a2d9-68a16a7bf2ea · outbound

This paper cites Gcfagg: Global and cross-view feature aggregation for multi- view clustering.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Gcfagg: Global and cross-view feature aggregation for multi- view clustering

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:37.979231Z

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Observation 4ec886a9-19b5-416a-89c9-53e364354372 · outbound

This paper cites Multimodal graph learning for generative tasks.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Multimodal graph learning for generative tasks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:37.960889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be4d506d-f388-45d7-b25f-f38ad95cce28 · outbound

This paper cites Graph transformer networks.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Graph transformer networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:37.941648Z

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Observation f2096897-9c1a-4133-96cc-28ab8ef5c72c · outbound

This paper cites Multimodal graph benchmark.

Disentangling Homophily and Heterophily in Multimodal Graph Clustering Multimodal graph benchmark

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:37.924772Z

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Pith citing papers

Observation 1f3192e1-b763-4562-8988-f7b97b7dc489 · inbound

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation cites this paper.

CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation Disentangling Homophily and Heterophily in Multimodal Graph Clustering

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.224336Z

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Observation ef71ae0d-ceb9-44f4-b0bf-b10e8809c92e · inbound

Multimodal Graph Negative Learning cites this paper.

Multimodal Graph Negative Learning Disentangling Homophily and Heterophily in Multimodal Graph Clustering

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:48:20.675364Z

Source-reported events for the cited work

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