Paper Citation Record · LEDGER

Automated Heterogeneous Network learning with Non-Recursive Message Passing

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.07598.

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

pith.paper-citation-record.v1
2501.07598 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:54.478962Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

47 of 47 outbound references displayed

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verified fuzzy41
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a528460-d23b-4a58-b639-05ef4377024a · outbound

This paper cites Deep collective classification in heterogeneous information networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Deep collective classification in heterogeneous information networks,

Reference 1

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Observation b21b5c67-9a47-405e-aec0-0c32ee871254 · outbound

This paper cites Dropedge: Towards deep graph convolutional networks on node classification,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Dropedge: Towards deep graph convolutional networks on node classification,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.531220Z

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Observation 7fecfc49-147a-4fc3-b682-06b666a9f723 · outbound

This paper cites Node classification in signed social networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Node classification in signed social networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.511133Z

Source-reported events for the cited work

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Observation 1a10da74-6024-44bf-b362-2e88de0f4dee · outbound

This paper cites Link prediction based on graph neu- ral networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Link prediction based on graph neu- ral networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.488207Z

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Observation c7ca4982-3c35-4f53-84bf-cff6bf49e49e · outbound

This paper cites Composition- based multi-relational graph convolutional networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Composition- based multi-relational graph convolutional networks,

Reference 5

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Observation 5a7c8928-7d82-4043-8745-075995c235c9 · outbound

This paper cites Distance encoding: Design provably more powerful neural networks for graph rep- resentation learning,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Distance encoding: Design provably more powerful neural networks for graph rep- resentation learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.449013Z

Source-reported events for the cited work

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Observation 7ef3f066-1f61-4f05-9373-a2703d8488f8 · outbound

This paper cites Learning knowledge graph embedding with heterogeneous relation atten- tion networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Learning knowledge graph embedding with heterogeneous relation atten- tion networks,

Reference 7

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Observation 0afc20c1-8b1b-4590-a49b-ce9c3d9f7733 · outbound

This paper cites Meta-knowledge transfer for inductive knowledge graph embed- ding,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Meta-knowledge transfer for inductive knowledge graph embed- ding,

Reference 8

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Observation 2a73295e-9479-4a31-b736-2026b0217e90 · outbound

This paper cites Indigo: Gnn-based inductive knowledge graph completion using pair-wise encod- ing,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Indigo: Gnn-based inductive knowledge graph completion using pair-wise encod- ing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.387816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ccfc10d-e45a-45ee-8921-b370c7232d68 · outbound

This paper cites Inductive representation learning on large graphs,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Inductive representation learning on large graphs,

Reference 10

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Source-reported events for the cited work

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Observation 2dcd706b-51a7-4af1-b94c-48ec3126053e · outbound

This paper cites Sim- plifying graph convolutional networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Sim- plifying graph convolutional networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.360749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dabbe1fe-d192-4694-9215-c1b39a9a4415 · outbound

This paper cites Gated graph sequence neural networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Gated graph sequence neural networks,

Reference 12

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Source-reported events for the cited work

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Observation cc28270a-895e-470b-a2ca-c8d1c0129b6c · outbound

This paper cites A survey of heterogeneous information network analysis,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing A survey of heterogeneous information network analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.327834Z

Source-reported events for the cited work

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Observation 2d794a33-b131-4302-89d2-e708b0118931 · outbound

This paper cites Mining heterogeneous information networks: principles and methodologies,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Mining heterogeneous information networks: principles and methodologies,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.308206Z

Source-reported events for the cited work

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Observation e14a7b83-189b-4b7b-b29d-4a478e1c10d0 · outbound

This paper cites Rankclus: integrating clustering with ranking for heterogeneous information network analysis,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Rankclus: integrating clustering with ranking for heterogeneous information network analysis,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.288522Z

Source-reported events for the cited work

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Observation 6f340e80-78d8-49f6-bc0b-dea6f7dcdb5a · outbound

This paper cites Collective prediction of multiple types of links in heterogeneous information networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Collective prediction of multiple types of links in heterogeneous information networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.269008Z

Source-reported events for the cited work

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Observation 5842dd7d-77f9-4d24-9552-10d32f958a6a · outbound

This paper cites A com- prehensive survey on graph neural networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing A com- prehensive survey on graph neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.248535Z

Source-reported events for the cited work

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Observation 29ab7d67-9a74-43b7-b927-054726c2f7c2 · outbound

This paper cites Heterogeneous graph neural network,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Heterogeneous graph neural network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.222869Z

Source-reported events for the cited work

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Observation 92cad412-115c-474d-82a0-ac4e1cb68065 · outbound

This paper cites Non-recursive graph convo- lutional networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Non-recursive graph convo- lutional networks,

Reference 19

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Source-reported events for the cited work

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Observation b875da5f-41bf-4fce-bcd4-0f4832bd3958 · outbound

This paper cites Towards deeper graph neural net- works,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Towards deeper graph neural net- works,

Reference 20

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Source-reported events for the cited work

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Observation a1c4f85a-4499-4fe3-bc92-f3148f861f43 · outbound

This paper cites Modeling relational data with graph convolutional networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Modeling relational data with graph convolutional networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.170621Z

Source-reported events for the cited work

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Observation e6971690-a173-45c1-9902-ad9e7d891c74 · outbound

This paper cites Heterogeneous graph attention network,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Heterogeneous graph attention network,

Reference 22

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Source-reported events for the cited work

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Observation ad15dcf1-bf8d-46c5-8b71-51cb905a8a07 · outbound

This paper cites Magnn: Metapath ag- gregated graph neural network for heterogeneous graph embed- ding,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Magnn: Metapath ag- gregated graph neural network for heterogeneous graph embed- ding,

Reference 23

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Source-reported events for the cited work

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Observation dbbfb431-4305-4047-86df-8bc704a8a5ed · outbound

This paper cites Simple and efficient heterogeneous graph neural network,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Simple and efficient heterogeneous graph neural network,

Reference 24

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Source-reported events for the cited work

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Observation 4d1ba4b6-2af6-434c-ac4b-cc3cb206feb9 · outbound

This paper cites Pathsim: Meta path-based top-k similarity search in heterogeneous information networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Pathsim: Meta path-based top-k similarity search in heterogeneous information networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:55.084342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab241ffb-9f54-4221-902e-e3634009d02f · outbound

This paper cites Discovering meta-paths in large heterogeneous information networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Discovering meta-paths in large heterogeneous information networks,

Reference 26

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Source-reported events for the cited work

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Observation e44a037a-bf15-49c6-b24d-43131ea5b5c8 · outbound

This paper cites Higher- order attribute-enhancing heterogeneous graph neural networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Higher- order attribute-enhancing heterogeneous graph neural networks,

Reference 27

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Source-reported events for the cited work

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Observation 5ccb4b82-498b-49b3-b57f-df1b89c77e74 · outbound

This paper cites Graph trans- former networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Graph trans- former networks,

Reference 28

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Source-reported events for the cited work

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Observation c6c66b2d-65f0-41cc-ab95-bddee79fbcf2 · outbound

This paper cites Heterogeneous graph transformer,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Heterogeneous graph transformer,

Reference 29

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Source-reported events for the cited work

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Observation 33617ebb-8edf-49e6-848c-dd0afa7fdac6 · outbound

This paper cites Mhnf: Multi-hop hetero- geneous neighborhood information fusion graph representation learning,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Mhnf: Multi-hop hetero- geneous neighborhood information fusion graph representation learning,

Reference 30

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Observation 24c31382-9569-46b2-8e12-5dd99a80e662 · outbound

This paper cites Are we really making much progress? revisiting, benchmarking and refining heterogeneous graph neural networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Are we really making much progress? revisiting, benchmarking and refining heterogeneous graph neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:54.984656Z

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Observation 08bbc367-8c42-4245-ad82-7ea9ef80b0ba · outbound

This paper cites Efficient heterogeneous graph learning via random projection,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Efficient heterogeneous graph learning via random projection,

Reference 32

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Source-reported events for the cited work

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Observation 6da7b457-14a2-4b04-93fa-ddff7563bd9d · outbound

This paper cites Graph neural networks with a distribution of parametrized graphs,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Graph neural networks with a distribution of parametrized graphs,

Reference 33

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Source-reported events for the cited work

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Observation 4da32df4-d6ec-45ce-ad1f-09722ebb3348 · outbound

This paper cites Graph neural architecture search,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Graph neural architecture search,

Reference 34

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Source-reported events for the cited work

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Observation b32b9f0a-2aaf-46dd-a9c6-303952fcd5c4 · outbound

This paper cites Auto-GNN: Neural Architecture Search of Graph Neural Networks.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Auto-GNN: Neural Architecture Search of Graph Neural Networks

Reference 35

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Observation 66d09ed5-aa1a-4784-b6ab-2d2afb3470ab · outbound

This paper cites DFG-NAS: Deep and Flexible Graph Neural Architecture Search.

Automated Heterogeneous Network learning with Non-Recursive Message Passing DFG-NAS: Deep and Flexible Graph Neural Architecture Search

Reference 36

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Observation 966decab-32ec-4747-9cd1-b1625a07efbe · outbound

This paper cites Large-scale graph neural architecture search,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Large-scale graph neural architecture search,

Reference 37

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Observation 8e819694-372d-4a33-b00b-c5d3a4368ad6 · outbound

This paper cites Genetic meta-structure search for recommendation on heterogeneous in- formation network,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Genetic meta-structure search for recommendation on heterogeneous in- formation network,

Reference 38

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Source-reported events for the cited work

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Observation cc397082-34ce-416d-9954-0cceac03229d · outbound

This paper cites Autogel: An automated graph neural network with explicit link information,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Autogel: An automated graph neural network with explicit link information,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:54.860100Z

Source-reported events for the cited work

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Observation 651f5dfa-f07d-4a49-a687-e7c3646ecb7d · outbound

This paper cites Diffmg: Differentiable meta graph search for heterogeneous graph neural networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Diffmg: Differentiable meta graph search for heterogeneous graph neural networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:54.839209Z

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Observation e3d5c72e-aee2-4ae0-b3eb-a98f180c936b · outbound

This paper cites Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:54.816717Z

Source-reported events for the cited work

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Observation dec963b7-737f-4afb-b290-88decbfa77c0 · outbound

This paper cites Hierarchical optimization: An introduction,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Hierarchical optimization: An introduction,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:54.796324Z

Source-reported events for the cited work

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Observation e38ed35c-f99b-4138-b265-90cb76381c0a · outbound

This paper cites An overview of bilevel optimization,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing An overview of bilevel optimization,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:54.776508Z

Source-reported events for the cited work

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Observation aeeb2046-9ab3-4cff-b200-008310ba0139 · outbound

This paper cites DARTS: Differentiable Architecture Search.

Automated Heterogeneous Network learning with Non-Recursive Message Passing DARTS: Differentiable Architecture Search

Reference 44

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Source-reported events for the cited work

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Observation 924cba55-0ce1-4b78-a5f4-2ef5e4aedaa9 · outbound

This paper cites Graph attention networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Graph attention networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:54.757424Z

Source-reported events for the cited work

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Observation 43a1c0b7-cf19-4047-bfc3-e95ae0e1e8d8 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Semi-supervised classification with graph convolutional networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:54.736968Z

Source-reported events for the cited work

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Observation fc440fc4-1560-4e2f-ace9-661893be8388 · outbound

This paper cites Heterogeneous network representation learning: A unified framework with survey and benchmark,.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Heterogeneous network representation learning: A unified framework with survey and benchmark,

Reference 47

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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.