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Paper Citation Record · LEDGER

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective

As of 22 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2510.05750.

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

pith.paper-citation-record.v1
2510.05750 v2

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:19:48.954103Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

89 of 89 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved89
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16932054-2dd5-4800-be55-ed7831027de4 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 1

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Observation a44a20bd-3588-45ed-bebb-e2c3987d16c2 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-04T11:19:39.827602Z digest=sha256:8ae3059b811ebacff590abfd76ed760cd3a8e03610999b019491fafb48b5c5dc

Observation cbc0c78e-a147-42ef-9ffd-95c60832d76f · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-04T11:19:39.925762Z digest=sha256:20afeadfcdc2e84a0f37c6b799fe3d0a4d52a23d87e7437ae471d5373701907d

Observation 71b87524-76c2-4956-9153-c0e809546eac · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-04T11:19:40.018365Z digest=sha256:259b893e0835d12403620760dad0256f2c4adecbdde0f788324ca8bccabc074f

Observation a0d1e87a-ec65-4539-839b-e1732834a365 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-04T11:19:40.093697Z digest=sha256:983f50a845932d1266b532f69bdd9c52bf2546dc558f3ad741368369caadce86

Observation 13244ce0-6621-4908-915f-e0f1d4048ff5 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-04T11:19:40.199530Z digest=sha256:33d445c8bf67c1fccb0efac3ae8ae19ce73ebc94333f1eae0e5bc4c7a9a7af76

Observation fc5d845f-b8f3-42e3-b4b0-6ac5fcb978a0 · outbound

This paper cites A Binary Classification Social Network Dataset for Graph Machine Learning.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective A Binary Classification Social Network Dataset for Graph Machine Learning

Reference 7

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source=pdf_text observed=2026-08-04T11:19:40.292688Z digest=sha256:2983efcaad70c77900ebfc8575e7840ecc8c76e8869eb3bd52ef61f7e0f26ab2

Observation 00863aa5-8dc3-4f40-959b-33d728d1f147 · outbound

This paper cites Ma, Z.-D.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Ma, Z.-D

Reference 8

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source=pdf_text observed=2026-08-04T11:19:40.476664Z digest=sha256:48704838c313e109562e3a42e87a3143385cbd8277158ed58b73d3c72f097629

Observation 3514bb58-a771-4e67-856b-04f114ccaa34 · outbound

This paper cites Sharma, Y.-C.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Sharma, Y.-C

Reference 9

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source=pdf_text observed=2026-08-04T11:19:40.669862Z digest=sha256:87ec337be2024d9a130ee62472d9b14d608819eb675e04a78116a18eae4e4850

Observation 92ba0ca3-42a2-4464-9198-5b554ed33124 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-04T11:19:40.832730Z digest=sha256:6bae47c62312e9a6e67fd259f920baff68f567acf5464bba62b8309a0fb03b39

Observation 853093f2-b6e6-4d94-b7ae-ead68e970eaf · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-04T11:19:40.951750Z digest=sha256:d92d4fd3c6da0024945c5ad094faefc13745b51c58f5db9df6296e8e6e1ff765

Observation ad635b23-b87e-484c-84eb-8b0c6ba375ee · outbound

This paper cites Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning

Reference 12

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source=pdf_text observed=2026-08-04T11:19:41.138731Z digest=sha256:f615074ff10924c5c2b2e9a6e2e83d3e7f1fe12e5a9fe38bffda188cd079709e

Observation 29b406ec-4254-4645-8b72-3344c7bf6101 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-04T11:19:41.262802Z digest=sha256:fd3929953505147b5b078f50d00318952e05c2938aedd8e0a2844f86e8bfe13b

Observation 093b7990-0e44-48e4-9bef-60cdb1efe25c · outbound

This paper cites A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning

Reference 14

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source=pdf_text observed=2026-08-04T11:19:41.384696Z digest=sha256:74fd85c43445da5857e022fd28b3a505d236848743ce5d944a9c834311ad40f1

Observation 1b2ce296-6bd4-42fe-bfdc-2e92ddba47e9 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-04T11:19:41.533898Z digest=sha256:4a0631c15771c4e65829afde32135316c34b2da4a7a60e193ec0202eb2031e40

Observation d69a91c8-448d-4791-9a73-53c77e09abba · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-04T11:19:41.681607Z digest=sha256:27dabcb202eaf6dd10352c85e521a06892f5005bc46d42e23d82e22da1bcb953

Observation bf0768f1-af3d-44a1-a826-42be7694a69b · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-04T11:19:41.804330Z digest=sha256:972a146f36bd85027372dc35dde4928de82fe322023bae99edd9aeec827330e7

Observation e712e78e-df5a-4f00-b736-c985e9c8c20d · outbound

This paper cites Velickovic, G.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Velickovic, G

Reference 18

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source=pdf_text observed=2026-08-04T11:19:41.891088Z digest=sha256:57dc4cfd37d1cc94338591b2b37af3c753db5da565a076e5f47eeac4bcf3df5a

Observation cb0440cb-4204-4ccd-b52b-4a70fe8aa81d · outbound

This paper cites Hamilton, Z.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Hamilton, Z

Reference 19

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source=pdf_text observed=2026-08-04T11:19:41.948573Z digest=sha256:200443f0a21312e5fa9b88f6de8da8341d38a106a593f662df12af743666eae9

Observation 961b3abf-5c19-487a-9d73-981779c490a8 · outbound

This paper cites Zhao, Explainable q&a system based on domain-specific knowledge graph (2021).

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Zhao, Explainable q&a system based on domain-specific knowledge graph (2021)

Reference 20

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source=pdf_text observed=2026-08-04T11:19:42.036725Z digest=sha256:97b841eff85a6b05ddfb5883f57437abd4ff1eefdd918ed5d71b702ed28f6160

Observation 04c96c04-611f-434e-8081-688acd60ba45 · outbound

This paper cites Gilmer, S.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Gilmer, S

Reference 21

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source=pdf_text observed=2026-08-04T11:19:42.124314Z digest=sha256:e3fe5648e9b5d92d0c51760324f04f3f3ebe5a348cd9310bf8876195a31bae61

Observation 7004e085-d2b9-4fc1-9979-5b863d1da02c · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-04T11:19:42.208653Z digest=sha256:a459eeeebbf01b356f077bb17ab7a68f8e558cbfff2013e242af676acf71b8dd

Observation 896b0f8c-dd6b-4809-acc8-19138a67d97d · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-04T11:19:42.273712Z digest=sha256:49c1bcc570d929669a8d9c92fc823f61fbde3391ec666c2313148b8dba9aa9ee

Observation 62df34e8-e00c-46ef-b203-fc1a4e3ee294 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-04T11:19:42.359813Z digest=sha256:1538476556174cf94483f3c91408ccc28b5be5aca979627aa406e69a46cc3f59

Observation 47be95ba-67c5-4896-8b3e-09eca73e7820 · outbound

This paper cites Zhang, D.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Zhang, D

Reference 25

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source=pdf_text observed=2026-08-04T11:19:42.460848Z digest=sha256:fda017b96e62457920b212543f0f3b2f4c0e73308968ddb5a85917f62e8ec60b

Observation 919f22d7-d792-4bfe-ab68-38d3d5bcdd85 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-04T11:19:42.569949Z digest=sha256:6391eeabfcb68f30a1e5332d8580ed75e1f4c7fd1fd533df5b78179b33d0fbd7

Observation 65894b90-193c-42f9-99e6-9a7757e9e8fe · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-04T11:19:42.663771Z digest=sha256:1b498bcdef8d0d6fe6de6e2c8d94514bdb8eecf7f14b58e49669b5b7799480cb

Observation 2831ae1d-0c0f-484d-abfd-9148b4a84ac4 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-04T11:19:42.766058Z digest=sha256:3441eb40bd0b85ee4f27f9448ec89f4f199bbd8ff35144ab332a6f27fc87014d

Observation c29d9c29-0b06-437f-817d-c7e479582479 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-04T11:19:42.857045Z digest=sha256:f5be6ae63bf8462f7b893082ec3a24f0625d135c74c6e10b4db43f7a4521dbfb

Observation 9c8b3767-e228-4a8d-b822-200bb243d3e5 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-04T11:19:42.931550Z digest=sha256:84c741a385cac8c0e11a3e3f286abe8cbf43830095f3eb8e4958c9c265b7cfcf

Observation f82aa83c-9d32-427f-bbb0-ac645a409361 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-04T11:19:42.981798Z digest=sha256:1d1e3444d9f29798897d09c7415127e11d30731412a5ad1809dd4e3faa394501

Observation 957b9b8e-ea59-4f67-ae4e-f18bdd9d893e · outbound

This paper cites Adhikari, E.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Adhikari, E

Reference 32

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Observation 190adab4-2bd2-49af-a5e5-e9579d6a597d · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-04T11:19:43.187827Z digest=sha256:213ec3b17633443340a350153fab1a80772fd5c6906db353a7fbb210ee5b6673

Observation 03139f92-803d-4dcd-aa57-14de80661741 · outbound

This paper cites Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning

Reference 34

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source=pdf_text observed=2026-08-04T11:19:43.273770Z digest=sha256:e09e01fd07d2098474cef08ccc858891ba6f914962597eaf0af26b17439f7dbc

Observation bf43edda-94ae-407e-b6c0-ad3a7ec545f3 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-04T11:19:43.374785Z digest=sha256:5fbf647831a2d03efe2c28913152b6ba0e4663a7a5e80fb39a5ff9e45afff549

Observation 6c2547af-f5d5-4859-9234-44216ca3133e · outbound

This paper cites Schlichtkrull, T.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Schlichtkrull, T

Reference 36

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source=pdf_text observed=2026-08-04T11:19:43.466973Z digest=sha256:d2d2e1a148999726fd0502f18543d20fb149f09f2082b95ae95f7e76a5f840b4

Observation 3dec3e7d-97a8-470b-a77f-67b13eb2bc40 · outbound

This paper cites Is Homophily a Necessity for Graph Neural Networks?.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Is Homophily a Necessity for Graph Neural Networks?

Reference 37

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Observation e7749cd1-06b4-422f-af9c-300b30de08cb · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-04T11:19:43.587820Z digest=sha256:459d4fd25038ac416a0292594ca6d3d112d4de8892d6dfb68379c83acb5a9684

Observation bde7a532-9964-4b3e-8c64-ff1bdce0edde · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 39

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Observation 0e686f45-9f78-4a27-bdc9-4f87cb66a7b9 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 40

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Observation 420fb543-0e2a-41a1-b5b2-7a8cbc480728 · outbound

This paper cites Node-wise Localization of Graph Neural Networks.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Node-wise Localization of Graph Neural Networks

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Observation db3e7bb8-c9c1-423a-8fe6-bc9a22d755ff · outbound

This paper cites Yehudai, E.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Yehudai, E

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Observation b559abde-69fa-4234-a897-e338cb14f087 · outbound

This paper cites Loveland, J.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Loveland, J

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Observation f1434eae-2cef-4dac-b29f-90f28edf7b1c · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 44

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Observation c4733807-576e-462a-8c7b-7659b55ecc8f · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 45

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Observation 809d1f01-a87f-47b6-9076-48f7fe5a3d24 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 46

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Observation bb8a725e-8e4e-445d-a653-0d573b198f57 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 47

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Observation 3b218350-5144-4363-a31a-61916643a2a0 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 48

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Observation ea1bbe89-7e3d-4331-8261-82f6bf11fc82 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-04T11:19:44.440919Z digest=sha256:50d1fb2d93102e8e6ab949d76deee4941f9a73fae3032a59f39416359ba6b0b6

Observation 62d9b241-0b35-48d3-87fc-1ca89c4c220c · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 50

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Observation 3393b00b-e394-4864-84cd-77fb730bb28f · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-04T11:19:44.600412Z digest=sha256:08bf5a7d0736c7698ef7f1a6a3f8ae6e5e80af1b598ded2dd054bd4372494b93

Observation 2a0d04ba-6dc6-481a-89cc-576672dcbe2a · outbound

This paper cites Sekhon, The neyman—rubin model of causal inference and estimation via matching methods (2008).

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Sekhon, The neyman—rubin model of causal inference and estimation via matching methods (2008)

Reference 52

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Observation e7b3e1db-3994-47df-82bb-842e26d886e3 · outbound

This paper cites Cotta, B.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Cotta, B

Reference 53

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source=pdf_text observed=2026-08-04T11:19:44.757700Z digest=sha256:664f80b8a6da972725e3f80f6680787ec7880d3fbdec12ebddf08cbb7a5dadcf

Observation 6c5d93a5-b9af-4885-8be9-3f00c58b7082 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-04T11:19:44.821550Z digest=sha256:b0e65e210b73d105e2e50ea1c745c1b59c83045b283d3f5b311da2a828446408

Observation 1bdb98ec-bcc2-4863-bf88-3df08722ccd9 · outbound

This paper cites CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning

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Observation fcb3f733-31f5-47e8-bfab-a328fb3d9246 · outbound

This paper cites Jiang, Y.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Jiang, Y

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Observation 8eaf0533-71ba-48ba-8af4-04ca52496633 · outbound

This paper cites Estimating Peer Direct and Indirect Effects in Observational Network Data.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Estimating Peer Direct and Indirect Effects in Observational Network Data

Reference 57

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Observation e50d445d-37d8-46e1-86b6-6cd2f4dbda9f · outbound

This paper cites Farzam, A.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Farzam, A

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Observation 64147bb4-70ba-4b39-9361-431f6ad683c2 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 59

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Observation 3331cf91-a65c-48b9-8324-dec2863f3d56 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 60

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Observation 687d3320-4656-43c1-896b-fc682c035ff3 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 61

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Observation b426e5f8-b5bd-4fe0-becd-41da22b8533d · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 62

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Observation 3992565f-4dc4-4dc2-bb42-c10c1e346c71 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 63

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Observation 234e33da-6e2a-499c-9d30-8698bd272e2d · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 64

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Observation d2ca0afe-9cb2-42b3-a92a-6ac0e31ac249 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 65

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Observation dd7192de-87c4-4844-adbd-6b1ef93b2011 · outbound

This paper cites Khaled, A.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Khaled, A

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Observation cffbd284-b9ea-497e-adb0-9a0024eeeae6 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 67

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Observation 4743e8d1-5dea-49d8-8997-d89152fbba16 · outbound

This paper cites Agresti, M.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Agresti, M

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Observation a57f080c-6b53-4370-b916-05b4e33dc428 · outbound

This paper cites Benjamini, Y.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Benjamini, Y

Reference 69

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Observation 040d2e82-042f-4016-b337-ead29c0eeb0a · outbound

This paper cites Jaeschke, J.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Jaeschke, J

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Observation 1cbf0f30-7052-472c-b601-54d8a0a4c4bc · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-04T11:19:46.433485Z digest=sha256:776d95d4a4efeac3ea3a2fc8b2e4e7c3a1c0cc4b5cd6bc26d16f704feec87a7f

Observation cfdebeb0-a0c8-4fb6-b5ae-ef44a871285f · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Semi-Supervised Classification with Graph Convolutional Networks

Reference 72

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Observation 375ac9b3-89aa-4d6c-93cc-860f39488bda · outbound

This paper cites Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification

Reference 73

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Observation e88c82cb-d650-455f-b881-342596cd890c · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 74

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Observation b9f3fb6a-38f9-4060-8358-c6c566735b63 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 75

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Observation 9ebb5520-5fc1-4be3-b69d-ab0669f6e5f2 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 76

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Observation a0ec326d-cdb8-45da-99f1-aad782720e09 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 77

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Observation 769e311d-c8d8-4315-96d9-734f8501ccac · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

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Observation 9661dde6-55d7-4f70-9041-aad477aaee9a · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

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Observation 0f4c6c7d-34f4-44e3-ae1b-7ff6a2454a76 · outbound

This paper cites 34, 2020, pp.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective 34, 2020, pp

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Observation 214bd1aa-b3ee-4c15-84ac-20eb081121e4 · outbound

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Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

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Observation ac8bd86d-667a-47ed-a370-a7999900d460 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 82

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Observation 5f46731c-4af9-48de-8581-61608c751393 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 83

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Observation 966cd3ba-7c2e-4876-b982-5de06ededd8b · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 84

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Observation 3c8014b0-2fdd-485c-bf09-d1aae6bac4a4 · outbound

This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 85

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 86

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 87

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Unresolved cited work

Reference 88

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Source-reported events for the cited work

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This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Geom-GCN: Geometric Graph Convolutional Networks

Reference 89

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.