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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:3cb0158bf465136d3e2ddecc33f58d0ef8afae9dff66fb797b8d769f29404335

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=sha256:8fa8a1a194651ed29adbe6fd8a5e79bc7769ae26cdba6d418a264d82d4a1ceb2

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=sha256:8c6bed4ed9c000e22c0f60d805c25f7a243759bfe6c71317e6c1d51542a1909a

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:d3bf04f0f94d2a4d149bcf06331557f18db52d96325852e65ffd2b1351a9d480

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:a456aa1487289ce08ed37b15b9625c405902b9060c642840c9c1c4aa51c7465d

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=sha256:07d6f2ed1448fafc2930086823f206224cb4ef3aef9735ae436ad6fca4ad0d73

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:a01b5e38fc45aeb90557893c09642e80dd805596eee587f2bf914ac489993502

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=sha256:5bb78b661328923f474e8fa4b76f67d494cdfbb5d566b9a0b95e7a6fe6c8d0ce

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=sha256:990caf314ba03d897f79451fb2d83d9f516db38f4b01950b9311d2308bcbf8d2

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=sha256:741b8b188af60a2ab9b6598aa6034850f219c06dfc5a9d1329d596f3da7e34c3

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:d330b9202e04a00dae2a8265d2efef8b23ff817bdeb7d75f8789c16632e6c73a

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=sha256:0bfd12b38284dfdc057078e052f632ef8868c283c75f9ef1cc8f32c0793d2cc1

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=sha256:1f61f7737ce3f522c8856b703a18cd798ad48903ad7626d3c9a443a781115df0

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=sha256:5921e04ecfb84eb663402c1c5e88f4c114590e13f52c958574403371068a6ef8

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:bf80375eb02f74260568350c5a70030d9ebc9f66acdaff7c94acce70b3a344cc

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:a927944ab2f209a0fb57b503e19dd89dd970138a1166e3f329611272884556b5

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=sha256:44b505cc797fd29d2ab4b7d73f211cad833c2679e11684feed3a92f6e6733dc3

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=sha256:885dd4139fdc1f533f534b11d89126d3a941961c70603359ad6d81352215f55b

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=sha256:9727e103bca3a50966330cb8696e9e0e7a139a88384bc177eb47f33d6ba27e26

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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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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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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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:ee27e6eedf30dcdc5cf3e0933a1b01332f67fbf82d9fb4723f49149bbdc87ad9

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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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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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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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

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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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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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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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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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source=pdf_text observed=2026-08-04T11:19:43.069125Z digest=sha256:2713dc90dd954942652d0ea69eca194da2bb56c1b672f40120dd153012448b51

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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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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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=sha256:4dfec308bd82e7ecba014441ba94115c712e844c9de88885354a01248e57402d

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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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:fc144fb6503bb21fd591c98db6519371d0674e4568c37df269bb020575e9a199

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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source=pdf_text observed=2026-08-04T11:19:43.899885Z digest=sha256:d9e163a9625f1f0c9aa27ad3925b8e55ae56baccb294d4ad3364490c209c2ad4

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

Reference 42

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source=pdf_text observed=2026-08-04T11:19:43.981517Z digest=sha256:2aea3194b7acacf690e689b01697bc527746d688887d8405017caaa1fd854073

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

Reference 43

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source=pdf_text observed=2026-08-04T11:19:44.066177Z digest=sha256:577cf72c56569f4bac68b5dd874c0ab5ff750b4dc7e5aaecd1a6c886d013a68e

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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source=pdf_text observed=2026-08-04T11:19:44.209878Z digest=sha256:97fc882a9bec8b3b16a99af7602cc6d4074b2507e11cb4a226df091709514be5

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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source=pdf_text observed=2026-08-04T11:19:44.325588Z digest=sha256:e166f44a9214528e2a6bf6595f1b8323738c4bdcbd769aca32ee71b2f20759e0

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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source=pdf_text observed=2026-08-04T11:19:44.383673Z digest=sha256:45ac16b2d81c750d8ab24bffc4790791e05b7374c4718d5c4ef1aa4ac8a14a15

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:ad0ac904e0138066d9a1db801d1dc14c708e8d67572bcdb5b661b710d4248a75

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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source=pdf_text observed=2026-08-04T11:19:44.508870Z digest=sha256:e8021bda8abefb6a3e18af8358c56a0df7ebd387a21ff45867ccd178ac0c9eb8

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:efcca3f4f2d89eaf40fe9b8333ef13bd53e873b3608bf3464435197dd2d3ab95

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=sha256:232752118af3f3af491371c99a53848715dabc529f9b1dc8c03c39e207d8c145

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:e30ba142746e3b0d1b453aa3207ff2dea0356eaeb17bb79348863f3b7d093d3b

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

Reference 55

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source=pdf_text observed=2026-08-04T11:19:44.891608Z digest=sha256:c12de5aaff632381595d91a648b18900a2af3c080f9894accb9399c934a53f17

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

Reference 56

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source=pdf_text observed=2026-08-04T11:19:45.055415Z digest=sha256:748d7324b433bb83a2c20b49ef45c20d58dc53853caaa7865b4255afbd22fa8b

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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source=pdf_text observed=2026-08-04T11:19:45.157949Z digest=sha256:2abe59e1967f37c81de4ca5716ffd608dce255104a0d98e6fc80021180aa59bc

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

Reference 58

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source=pdf_text observed=2026-08-04T11:19:45.252269Z digest=sha256:9d3902f9118dc2eaac8b97ccc049a88d34ed6c5387d0e5f0d9756ab528e1235d

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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source=pdf_text observed=2026-08-04T11:19:45.335932Z digest=sha256:a4c2f26dcca0911e34cc48f402d8e810ef0bc02851a2e26bc9705a8b626052c6

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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source=pdf_text observed=2026-08-04T11:19:45.452814Z digest=sha256:c7ea1d5d3a313e8d3889669a83a473e03c6c82c0445f46e66eb2019082db675c

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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source=pdf_text observed=2026-08-04T11:19:45.703314Z digest=sha256:1aa2ee35b269a61ed74b0e075b045febce12c049ca65aa0643d8d46356e32086

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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source=pdf_text observed=2026-08-04T11:19:45.868691Z digest=sha256:80d4bee7cf2f7ed1eb6bb6a628000be3af5f0cb73ff9c6ee6a3d45dfdcd8b533

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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source=pdf_text observed=2026-08-04T11:19:45.943688Z digest=sha256:cb35b96080aef173b19906ae839bddce26d952a50b9ae02abb03b49b504f2705

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

Reference 66

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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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source=pdf_text observed=2026-08-04T11:19:46.069379Z digest=sha256:786274078d6b2bea5008b6a4400553281a7520ae36ca7f32e4a7399cceedb308

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

Reference 68

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source=pdf_text observed=2026-08-04T11:19:46.153907Z digest=sha256:19de5c5510ae2c7a9ced02b35caab3ca94017820f61d43e8597ed1e08683f3b4

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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source=pdf_text observed=2026-08-04T11:19:46.267827Z digest=sha256:29b0ecac821fa53e08ef0f822aa14fd0afd4b11b29c8a9cde5288d9f3b21b858

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

Reference 70

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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:d3320524c1eba898e3a40ef5251455ed7db39c3eb23d1fdc553171cf42e49d74

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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source=pdf_text observed=2026-08-04T11:19:46.525768Z digest=sha256:9ef66deb8da71dae61d5ad0e0537fad99ee0dab58e5a1f020b7bc73fb090e124

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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source=pdf_text observed=2026-08-04T11:19:46.795157Z digest=sha256:5cd3f8cd6f9109dc0e9a2c06830ebf5927460b2a495401db238d137c669144c6

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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source=pdf_text observed=2026-08-04T11:19:47.034298Z digest=sha256:1005de4ba5bc35b594fcb9b8a103f0246ae50b76d71391068f60ee50e2c2251d

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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source=pdf_text observed=2026-08-04T11:19:47.154829Z digest=sha256:459091f1c611c5d05e30b426b20ffc2c95f43d2c1cc9ece0560705a64523e6c2

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

Reference 78

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source=pdf_text observed=2026-08-04T11:19:47.291510Z digest=sha256:5ddd1c292e0f1cb680cf7611007e75465cec33285324455a5dd7deb6823170e1

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

Reference 79

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source=pdf_text observed=2026-08-04T11:19:47.411184Z digest=sha256:a8248245f478ff69c00028eb92fdd62aea08455a5a87db2abdc2aea564b96623

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

Reference 80

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source=pdf_text observed=2026-08-04T11:19:47.531574Z digest=sha256:76bbe2bd61a8ba277e037ffdf1f913b2bf013c7d258ba7cb7b4696c9feb4d80d

Observation 214bd1aa-b3ee-4c15-84ac-20eb081121e4 · 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 81

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source=pdf_text observed=2026-08-04T11:19:47.669995Z digest=sha256:f6f01f9a4b40ade6bf75b04f8d2c91a2326f453db644e78d2e342be344a6f0be

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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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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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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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

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