Pith. sign in

Paper Citation Record · LEDGER

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding

As of 7 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2602.13075.

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

pith.paper-citation-record.v1
2602.13075 v2

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:38:57.951047Z

measured 72 of 72 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T19:16:15.616715Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T14:55:47.455600Z

Reference resolution

70 of 70 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved70
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f89af6b-60b8-4d46-ba87-114af723b4b8 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:50.338826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:50.338826Z digest=sha256:f4bce00d97e0b01b80b14e9e5d8c8cbffefbc2e9a33bd43083730636afbb7d4f

Observation 4a2e3792-6a8f-4248-8893-856163a48864 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:50.540379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:50.540379Z digest=sha256:7c50725339b7827a3f572d3f56e732279b411a28ed34aa79fc2dea2bb5878e05

Observation d69660b3-312f-40c0-bc63-e076545a2c73 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:50.667454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:50.667454Z digest=sha256:a97bebe822643a52faf32c4b4e217876ffb681c98da58931df0b4bb1e1d15624

Observation 36a5dcef-33c1-4681-a260-0322a411edbb · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:50.767957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:50.767957Z digest=sha256:1700f9936e5fa51f1f11fdf8d75dfabab356d5eaf58f18dcb4303b707fd8803e

Observation 77887f13-b79a-46a9-a79b-8d4a7eefc20c · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:50.857312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:50.857312Z digest=sha256:591f49f870966774c6fc10899b835b6c222b2d4e1afc4b0c0e4a998895616bf2

Observation 445855e1-3552-4d36-97aa-234b44c08e48 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:50.944875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:50.944875Z digest=sha256:00fbf1e82f506448d4b5f3b49735e437dc67d4ab1e9d6c503be6086076a8f2a5

Observation 25899afb-4dd5-42cf-a485-24a1453a701f · outbound

This paper cites PyG 2.0: Scalable Learning on Real World Graphs.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding PyG 2.0: Scalable Learning on Real World Graphs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.041188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.041188Z digest=sha256:897a8c04ba82b735644e50a2b70493333695a7ca867d0676d8a95289afcc06f8

Observation 4616f140-b2de-442b-9b01-068851a8d6a9 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.136768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.136768Z digest=sha256:8e95d700bb3b6dc93ebd76398788d4c9836f66214d7051178c717470064edade

Observation bcf73e95-916c-4618-b4d9-1733045738d4 · outbound

This paper cites Few-Shot Learning with Graph Neural Networks.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Few-Shot Learning with Graph Neural Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.301056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.301056Z digest=sha256:81540c8c08662855cfd38264ec0cbaffa449837e0d7759d2b75d44a8eabf36ab

Observation 41864818-8917-41a5-81b0-177f21567c61 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.517561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.517561Z digest=sha256:0dcc17403e8f06eeea2703e1890d02b74848eaea680e5af4d5a7b03e0e7e1661

Observation f5330bf3-b9ba-4cad-8310-572a9f855554 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.660056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.660056Z digest=sha256:fe98a6f4d091513dd812053be38eea2f147318df41493ee1ed0bcd8b2e7c868c

Observation fd354527-8d7e-4de9-a15b-b08e2a9e6204 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.722383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.722383Z digest=sha256:85ea299a7718aab6f548e0aba3347a074389228d85766a9f9d01d4a72cdb35f0

Observation 9963018d-b226-4a51-9645-2ad46f9b846d · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Strategies for Pre-training Graph Neural Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.842857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.842857Z digest=sha256:d7c894bfb88ec847c19267a5c7d1c464fc7f0cfc3dab5c56fb84fba9a66f2dae

Observation f30f0a2d-427e-468d-9fb2-701fbd6e44da · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:51.981658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:51.981658Z digest=sha256:c986985572d74db521b2a37b3e78e726880910b662656c1e50b261cdcfc3d0cd

Observation d518793d-ad45-490d-b760-5c66d721834f · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.084745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.084745Z digest=sha256:cf59273a863c195b4059fdf2a90bc206d99595ec7a81bf9a0f7544859e335a64

Observation 96b9aabd-bed6-4952-bf0e-db7761d618cf · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.166827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.166827Z digest=sha256:153091edcc07b8fc88aebf945e6d3e95813578e4d4eddd400116d7225f690a2c

Observation fe7e1419-7f92-41b4-b64c-c0c0084939b7 · outbound

This paper cites Variational Graph Auto-Encoders.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Variational Graph Auto-Encoders

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.234744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.234744Z digest=sha256:a1c0d204b5e27175e6c9cb0af4aee0b763785de4f2c57e8e96653d946f6a6ecc

Observation 97cb709a-9924-4c3b-ad46-fee2678f94b5 · outbound

This paper cites Kipf and Max Welling.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Kipf and Max Welling

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.313300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.313300Z digest=sha256:7c40a5fb257bb54bcffa918c007f7d1b88f5c2110af501b9b0761cb985411162

Observation 786dfe6d-2f37-4fe8-917f-e8dc2aaa5171 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.414750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.414750Z digest=sha256:a12bd8accb0901e1037a28f8c7a022b7e50941a101330fb0cbe8553bf951b829

Observation 3e185516-6d21-44a5-b667-a658ea7e00bc · outbound

This paper cites Graph Foundation Models: Concepts, Opportunities and Challenges.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Graph Foundation Models: Concepts, Opportunities and Challenges

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.474515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.474515Z digest=sha256:fc60414c7b7a0c2e259209c1aadb756bcf242d4c1cd86f74563e64e9be20fe4f

Observation 2f024560-5561-444a-a78a-1c76e3a6236c · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.519930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.519930Z digest=sha256:7b6303dfdf7fcb6a4e8e4ad4e46481ac02e96dbb166ae90ecc4452a036bd0677

Observation 1c320703-07ef-48f0-9def-cffcf4ad52dc · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.652358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.652358Z digest=sha256:8e74cff5ed1df87686256c2bea76fc8487522c03ca2533c021390a0502b3c394

Observation 9a0b5c58-df1e-4d91-b205-1e7a2f2f8940 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.710996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.710996Z digest=sha256:e93a4ff5bae868398539f17235b96fef9c98dd53ffd4bf52eaf519efcec0e551

Observation cdf0ebb2-d70c-4d8b-9009-b9e85f5908db · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.954820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.954820Z digest=sha256:0173979bcf8522cbaae69f242a0a4e80358337f37f2d18db68ce8c49d9e4bb67

Observation e68de5a7-a700-4198-8a5d-affa0b9ef428 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.055148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.055148Z digest=sha256:f9108e37d6b932b4989aae18d0467d4784b5803a654aa967fd256f214d5a2745

Observation bf0e5598-4216-491c-91d4-74d8c23206db · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.220164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.220164Z digest=sha256:b43ef921f5561bab280085a9f7ba4da9459304bf78618d8bcf444a0b5f0001da

Observation 4296aaa7-3123-4d7a-a461-7a38fbae14d1 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.325892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.325892Z digest=sha256:2220762d049bc0a74141be36ded837662a62cf2708822cf83c20fc716916c64b

Observation 696b7840-8299-4cb0-a6cc-4931cd6c8d6d · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.500838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.500838Z digest=sha256:ae4debd2472ca2b621113fbc6ae3b69c3c0b247869f62c031662e65d9c0cee83

Observation 1d605573-0940-4305-883b-93a75cd2b52a · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.745485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.745485Z digest=sha256:21dc2ceda25d04d850bafdf55a94d9be276a9e460dee56501b7f3852578ab7a2

Observation a6ee715b-754d-46ed-81dc-30f943054187 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.831110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.831110Z digest=sha256:99a5f4a07667f90efcc328af55dc9a332b506c0a0bbe3d212d3e3a658c181fff

Observation 03369de7-412e-43ba-bd09-b970be02b59c · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.870904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.870904Z digest=sha256:920640d0a14481cdd1b878f83e5bf79a8a6213548a1a186d424aa9ac97d5f9d6

Observation 7ce0c67c-35ba-40f3-8828-1712af8f5945 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Pitfalls of Graph Neural Network Evaluation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.963766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.963766Z digest=sha256:b9e4685b36eb70c405ff93a7797b0f604fa671f9cc245a009b5d373b9bde2c20

Observation 7ef0bc22-bb98-4874-8ba8-afb78cb99e02 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.037327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.037327Z digest=sha256:0f4830697177a03ccb6393d955328bb03b1c3d3d8bdfbe7268300b7a99cd86be

Observation c049909e-131e-4e47-9344-828b89350434 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.217935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.217935Z digest=sha256:57a256adff4077b836acfb172fad8335ddae0236254ede7d80268b00dc7225c5

Observation 8755b315-dc77-4994-ad31-3f2bf90a1005 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.332626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.332626Z digest=sha256:d82a3a27650939254af1881baf0ccda6d2652fa9f11fd54be9ac246a0b6c0036

Observation 0e856911-34ee-437e-af76-801e715460b8 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.452627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.452627Z digest=sha256:eb138ac184f74057703b8e876dd233d75d0f372136af2b75a8bd36be619b25ee

Observation df204f12-8368-4d0b-9e1f-920204e7a56c · outbound

This paper cites Graph Prompt Learning: A Comprehensive Survey and Beyond.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.632538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.632538Z digest=sha256:fd6adf383dcfda6fa9e29d013fa679e4eb7e6edfb884858f46ccf813d3fcabc8

Observation 084d48a1-b825-4831-9304-d645c5cb4f3e · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.756714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.756714Z digest=sha256:eccc161b3e4feb83c78d24fb5bba717691da3625b83c72ca64243e51a6e9062f

Observation f15bb82e-e594-4412-be49-cfe24571b60a · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.827391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.827391Z digest=sha256:542ab46d630bb4f6f5597286b97fb6d9cfbdbcaa9fd7625fc49ab89687efc571

Observation 34a464a6-00a0-444d-9bb7-6962a46beee1 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.961916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.961916Z digest=sha256:ae935de7a76ca07c5b8270c0a65e3f2bc71b7212f7a908fb715a4c86cd48ba24

Observation 74bf4762-3e98-41e2-8b67-f7433d8b32fb · outbound

This paper cites Deep Graph Infomax.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Deep Graph Infomax

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.052451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.052451Z digest=sha256:635e4aab94ac90cf9e1b1fd59c8e96fa45855c2286df7be3647fb818f63af9e8

Observation 8be34b99-a5c0-4a3d-8bc0-2bc6e8ec03bd · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.129817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.129817Z digest=sha256:66a3e28485450b85fcc9826dced3a234334c173ae794b33343ce72473d2bcc8c

Observation 57ba74e1-2000-4384-83e9-88aa1f686b39 · outbound

This paper cites Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.221271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.221271Z digest=sha256:15c009b12f6b7c356b590c7b0a8fbe937e1e403f46ca86e46417e7269bbff401

Observation a51246a0-90a5-4ecc-8b99-a3d0730b780b · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.320019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.320019Z digest=sha256:5b2e8c4a11b0f9e6ea1d6714c3b0a2220b87e6abbbbc9e187b577566acfd3511

Observation ef36798e-f0cc-4958-98ba-e0fa47f313df · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.522455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.522455Z digest=sha256:3e857ed35b892664b19a1dcc6cef3486a56cb849648b99fa631cc5ac9bb56cff

Observation ae49752d-5651-44fb-bba0-24548a24ffff · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.584086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.584086Z digest=sha256:b9bd2416f8ea4649796cfd6e910b1b98d804d212b08ab93e98ad5b2d01705811

Observation 96466d5d-a98c-46c4-b68e-882ed4e24f03 · outbound

This paper cites A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.662828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.662828Z digest=sha256:f8bf4f8d3f8b3f4ad3829ceb3cba4bb4cf36b2abc62e7af02c45d815164657f0

Observation bf62fd2e-ec5a-4bb6-897f-3fa9b44448a4 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.787473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.787473Z digest=sha256:ad7846ad376b59aaf7a0dbb4bec848f5b5cd6d4faa51bfca5dc65ab5de7fcc2b

Observation 1ccd6bc6-d83c-4ac3-8128-1c04fea9fee5 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.870940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.870940Z digest=sha256:656ed39616d7c38cb7df69ec22c49ef3e8e311ccc8b3362c87876aa81a653d3f

Observation 5cc9ca22-076c-4c27-aa81-08d061c1e61f · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:56.074399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:56.074399Z digest=sha256:237e8e09a86789cb130eebe96099d77aa99239b2db92634ed4ea20c9a44ca90f

Observation 95104705-68b5-431f-94e0-921c1ece7a27 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:56.240645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:56.240645Z digest=sha256:c2d50351b8ab43ea59929d626b1e55b85e6e2dcbfa859f7a58a50fc302b620c7

Observation 5c1b79fa-7581-4043-a369-2d43edf04d61 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:56.407412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:56.407412Z digest=sha256:3f083c551a24a9542e409a18dbb281bf8320769240fb3ef7fccc440dc48c69e6

Observation ca271ec7-8ec6-4abe-a0be-cb9e0478ba28 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:56.508733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:56.508733Z digest=sha256:1ebf085e17a07a87acc8b07d8d6516fe6fb5021dfa3f214f8a265cb6adf7a58e

Observation a2dc7703-2d1e-49d6-bbfc-e60ada36f5d0 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:56.636619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:56.636619Z digest=sha256:9daa2a8d2c69bd2c219e684d6f471a2cdc803af5c7f4f9d4f8f37af3c75c8109

Observation c8e94bb1-f054-405b-b149-f1174243db69 · outbound

This paper cites Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:56.742968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:56.742968Z digest=sha256:422a3c30eb1016986952c373ca9a0c4ce6595ea91f0feff33fc74aff1c508700

Observation 542da222-324a-486b-ba8d-7ad9a5b7e167 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:56.851691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:56.851691Z digest=sha256:ed5c5aaccf6370277e7d8917e016f024052fdc2ecb34dd3ccf3a6925e3ec027c

Observation ee2da1a4-6033-4919-9e4e-177e9b3a2aa5 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:56.992096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:56.992096Z digest=sha256:204293e978a5c68b448cb4a8170fe93ffb9ecc302e80747fe89c6b671cd28bc5

Observation 07126a92-26b9-44fd-974f-a1a92cbf3f8d · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:57.124263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:57.124263Z digest=sha256:eb397982b210225981fe024ce046d95021ca9f4fbc84ad66ccf40e3cd5d94243

Observation 50cff7f1-5508-4a22-93d6-6321429b54e3 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:57.179442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:57.179442Z digest=sha256:443b38b6faae6f05f1e3cadf0ecbb59b3c0e153510e0fb8cb2a47a08445ab9c0

Observation 57b108b5-76e4-4cbf-9c6f-1b705e93833a · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:57.283699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:57.283699Z digest=sha256:55bcec014ad03cc9baa095d4fc047d4c9f05ff34fd0eb7538f50b587a2bd8a74

Observation e6d74d8b-0edd-417d-8049-1ad46f2adfed · outbound

This paper cites SGL-PT: A Strong Graph Learner with Graph Prompt Tuning.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:57.436114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:57.436114Z digest=sha256:5965cb4637c0a640b5a233d255820f2382557998dc689e8747d6ed6fc903565c

Observation 91b252fd-fe17-4b00-8de2-c21330a296c1 · outbound

This paper cites Deep Graph Contrastive Representation Learning.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Deep Graph Contrastive Representation Learning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:57.556834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:57.556834Z digest=sha256:c14980899aac04751b1f5f8ae80a8425e79d9c6c6ea097555b407e4837766927

Observation bae73db4-dadf-4ef4-bb39-757e7113ffcb · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:57.675452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:57.675452Z digest=sha256:7f692cdc4d8d5b5d54fc895773c536430eb5378c23fe1f38d075af4b935c3cf6

Observation 523c1b63-03c0-47d3-a7a2-c72695133a0e · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:57.801163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:57.801163Z digest=sha256:3f215bf55790c1a13f91c3ec64afeb66c9fd65f43d6a77b9e0fb780e1898eba8

Observation 00ed333e-3786-4c2f-9f2c-e0b38fcfdb15 · outbound

This paper cites Information Retrieval3, 2 (2000), 127–163.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Information Retrieval3, 2 (2000), 127–163

Reference 2000

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.588593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.588593Z digest=sha256:b0a139282c63a9f0914ab3f6cab2c7f85e2ac2b99f4c49f6214a1a4b6b35625e

Observation f78157d7-5afb-4a28-8a26-16be4fc35797 · outbound

This paper cites InProceedings of the 38th international ACM SIGIR conference on research and development in information retrieval.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding InProceedings of the 38th international ACM SIGIR conference on research and development in information retrieval

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:53.415716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:53.415716Z digest=sha256:41369b24e346969fda5ab2dde7ca477a39665ef6c8f0afb4dcd4e9ec7c2d6516

Observation 2b71f5f9-59e8-4c82-91e1-414b3a087ddb · outbound

This paper cites InThe world wide web conference.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding InThe world wide web conference

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:55.395701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:55.395701Z digest=sha256:78477fad05459df8d5e96dfee909b6ab046479ffc50837a77b62b9af1e6676ec

Observation ba40a25a-09e3-4444-982a-008400641ead · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:52.819029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:52.819029Z digest=sha256:33fda337bec8104bac962b51d0b2586bbec172cddfce36f6e095efd83e44e414

Observation 036f09c8-21b0-4c27-a908-8491488ce934 · outbound

This paper cites InProceedings of the AAAI conference on artificial intelligence, Vol.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding InProceedings of the AAAI conference on artificial intelligence, Vol

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:54.876726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:54.876726Z digest=sha256:ed37365e05f7f8126c60770a2acb92dcaf086f4fe225e1cb2a94231bb13d4910

Observation cb6a3933-f585-4b71-909d-6b179172f8b4 · outbound

This paper cites an unresolved cited work.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding Unresolved cited work

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T23:38:57.951047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:38:57.951047Z digest=sha256:37646127a3a14453be41fd4ce426f2c387b1a559e6c4e118424e71b8b3147392

Pith citing papers

Observation 2a1251d6-db5c-4251-8500-ac091ca143e4 · inbound

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts cites this paper.

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-28T02:04:14.605745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T20:16:26.671005Z digest=sha256:675c6e183ab56b33a408e8ab97413ab9b4346fafa7d50517c375ea0148437575

Observation ab2857c8-3917-422b-a248-13e024a8ec02 · inbound

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts cites this paper.

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:55:47.457287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T19:16:15.616715Z digest=sha256:1f2e91c08327b0ca0307c110defa0c56ce3e78f72edae1a114c37982af820a20