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Paper Citation Record · LEDGER

Disentangling Homophily and Heterophily in Multimodal Graph Clustering

As of 22 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 2026-08-21T06:32:19.484+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

  • verified exact0
  • verified fuzzy47
  • unresolved5
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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

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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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no resolver link, observed 2026-08-06T15:42:33.676091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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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unresolved
no resolver link, observed 2026-08-06T15:42:34.590816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:40.147889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c89d3ab0-7888-441d-abb0-339bf51058fa · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:39.725643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:39.547937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:39.317099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:39.093404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.445929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
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no resolver link, observed 2026-08-06T15:42:36.491779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:36.491779Z digest=sha256:03e4d88343c00e52233d0548289d21df6bf8e133bea7cd0accd29cda299378b0

Observation e4d95ca9-60e0-40d2-b531-8bae85e629c0 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.288947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:36.685930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:36.685930Z digest=sha256:226c6f78575d83ab48f6a0318cff8e45d00bf13b1fcbe4844c469b51bb3d25ea

Observation 3bb0bb77-435b-4be8-8add-96a68f542a57 · outbound

This paper cites Balanced multi-relational graph clustering.

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

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.254309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:36.779395Z digest=sha256:a0b04f330b8d2b149b38208417a3e46c51254575713f5aeb3281cbbf71e914ac

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.235283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:36.839125Z digest=sha256:f643d5b7fe30ed89db9314f5001f5795a7983f72cd8ce4176a4a243ea18249d4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.213792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:36.919109Z digest=sha256:54be5815a60997e3140079cfe263e27f67ce13d9a54464a8d71ca30ed005ee0f

Observation 6b651e32-ef04-45f9-b013-ed61367b4f5e · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.193273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:36.966203Z digest=sha256:a3a1d4716a4f4bcbc85cfcce3eb6b987ec0ef387b11f0e17af73c43c7b40c9e2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.171910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.038408Z digest=sha256:2da5c729192679187916436f615ad4f18d02366f64ecead2a889b64872909e2a

Observation bf81e911-1b59-433b-9668-949c04f98c74 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.152996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.149917Z digest=sha256:ab5fb66ddec62bab7f74ffeddb770b9bf2e3fc3350403175ee4e9ddb872086d9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.130888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.262672Z digest=sha256:d8c118e9a3740df4634b2dc854416cc6769121bc4c415f255c0073b6d2880852

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:38.109529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.373824Z digest=sha256:16fd1473d9415d1e41da489e9c94e2e9813da6561572436364b9a44f9c8da86f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.493069Z digest=sha256:4a65a3bc90dd58561e592e64a4a84f3b73fe2d8aa0e3c593991cf054cf9da60c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.613182Z digest=sha256:d2e1e85a9ffe222b5aa2477bb90c606b57e36a4af6878700e903a8f1b48a9a93

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.730890Z digest=sha256:f60ec9419a46c46b8d014ce6493e8c7f501deffadb81ce462e0abab9e4f8cfc2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.790586Z digest=sha256:b9f1a85f3f0dfba9c158f1eb53fe3a742a6233693a966c706884e760358cc02f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.795275Z digest=sha256:91ac1ca5bf4c6ef7e7e97f8d78d3cff77a16c8a16ad1e76ced4a763674e642c1

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

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:37.800487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:37.800487Z digest=sha256:0c898303d1f9efbf5416add62d9b55b66953342ba24b7446d6b55fb7595fdcc0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.805735Z digest=sha256:e224e3926594d70479b1336623c7977a2e5e24ab0ab25b7a250d60826f43b666

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.811416Z digest=sha256:cbd3d83efd4cf09cfac3b7b901f1e4b7d628daee6ff75fa65ef1db6ec00f4ecc

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.815914Z digest=sha256:07e5612def97fd2c893ae671087005928ea52e49bb0311ee743dcb7c81e5ee20

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:42:37.821432Z digest=sha256:9853fbd673a00dc4a232cc7be3852772fecbf2cdcad948fe8bee2d5b9f23d611

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T01:52:23.038362Z digest=sha256:8181d004acec11a641c5c5a387788a67b3f9552e3443b60d218aef8bb958568c

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

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T07:36:40.432193Z digest=sha256:e3bf116469e78e403ca7a7f946a404d80a7356f6071657fe1fbdbaff9aa558b8