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Paper Citation Record · LEDGER

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search

As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2502.10459.

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

pith.paper-citation-record.v1
2502.10459 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:15:12.521257Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:49.840646Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:27:50.817927Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f032acd-f788-4ab2-a75b-833aceb5861e · outbound

This paper cites Multi-view graph neural architecture search for biomedical entity and relation extraction.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Multi-view graph neural architecture search for biomedical entity and relation extraction

Reference 1

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raw_fallback, observed 2026-08-08T10:15:13.129425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 455ca318-08d9-41dc-8b91-9f88cbafaee1 · outbound

This paper cites Palm 2 technical report.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Palm 2 technical report

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-08T10:15:13.114677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 62940333-d705-4288-ac1f-d1b440d83b51 · outbound

This paper cites Beyond low-frequency infor- mation in graph convolutional networks.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Beyond low-frequency infor- mation in graph convolutional networks

Reference 3

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raw_fallback, observed 2026-08-08T10:15:13.102972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 23542835-d990-4a89-b885-7dcc2f557e16 · outbound

This paper cites How Attentive are Graph Attention Networks?.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search How Attentive are Graph Attention Networks?

Reference 4

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no resolver link, observed 2026-08-08T10:15:12.344989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.344989Z digest=sha256:d5c73afa654e45f710320283b25b62e8e87f63292466576af9061ec5ea008ea9

Observation 04ba4c1d-9420-4d0a-bd92-ee14196757eb · outbound

This paper cites Simple and Deep Graph Convolutional Networks.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Simple and Deep Graph Convolutional Networks

Reference 5

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unresolved
no resolver link, observed 2026-08-08T10:15:12.348772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.348772Z digest=sha256:f9b2cdfb26eb58faf5066a7e1654a4b6dc6306e277bb8934b6e4eb8dc9132b34

Observation 518b6f2f-5e1f-498e-bf98-c03f9eabb33b · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search PaLM: Scaling Language Modeling with Pathways

Reference 6

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no resolver link, observed 2026-08-08T10:15:12.353054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.353054Z digest=sha256:0a7656465c1a9be69dcb23e955bda999c8b68172c2dd999b8c3604813be79f0f

Observation e273c5c0-de74-4226-bbae-d45965e5fd1f · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 7

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raw_fallback, observed 2026-08-08T10:15:13.091679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.357791Z digest=sha256:8184b4ed073837caba97c35a35ccbbfde13b24015088d99fe136f0b76035006a

Observation c97dd9c2-526e-4dc6-8036-dbadd9d089f7 · outbound

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

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Diffmg: Differentiable meta graph search for heterogeneous graph neural networks

Reference 8

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raw_fallback, observed 2026-08-08T10:15:13.080567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.362183Z digest=sha256:ffa16bcad70cde2e600f25a394e3a513b9e90742adf15c55ffb468cf5c7a6aa7

Observation 3e2747a6-8322-4fe5-b8e7-83652c2b2f49 · outbound

This paper cites Het- erogeneous graph neural architecture search with gpt-4.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Het- erogeneous graph neural architecture search with gpt-4

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.365780Z digest=sha256:7f28f17032a22326578ee055e080ade01ebe39c0776e8d24b402c89a047c1dab

Observation 003b2528-8425-4b8f-8d3a-13a60b4b5b62 · outbound

This paper cites an unresolved cited work.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-08T10:15:12.370017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.370017Z digest=sha256:8f219ea414c87c5af7f9ce9ccb638ea0655f642f6e6ac3e97c69fd99553d0a09

Observation d374484b-4035-4dbc-af43-e56220ac769c · outbound

This paper cites Magnn: Metapath aggre- gated graph neural network for heterogeneous graph embedding.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Magnn: Metapath aggre- gated graph neural network for heterogeneous graph embedding

Reference 11

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raw_fallback, observed 2026-08-08T10:15:13.048987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.373912Z digest=sha256:e5d5cf4e375231b46a224a2829006af18fa5d35862eb42424d6aa9f95f189dae

Observation a9db46a8-d139-4f26-a9ec-e9ff335ec3dd · outbound

This paper cites Gm2nas: multitask multiview graph neural architecture search.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Gm2nas: multitask multiview graph neural architecture search

Reference 12

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raw_fallback, observed 2026-08-08T10:15:13.038256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.377903Z digest=sha256:defaa4d2fcef3296a0aa671551490ecaa68dd6cf82d60d25c9f552e586a19ee7

Observation b4977a17-1871-47c0-a73b-0c75445fbc8b · outbound

This paper cites Graph neural architecture search.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Graph neural architecture search

Reference 13

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raw_fallback, observed 2026-08-08T10:15:13.026222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.381453Z digest=sha256:a1df6f53a16e5e069d45f67f98c6d3597d70c9012dbc6745557a4b932fe9e27c

Observation 76ec37fe-40ad-4cba-b2ec-d179d9bb21c9 · outbound

This paper cites Hetero- geneous graph neural architecture search.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Hetero- geneous graph neural architecture search

Reference 14

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raw_fallback, observed 2026-08-08T10:15:13.014067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.384987Z digest=sha256:1a6e4c75593538e3fe6664ba7821743015e1277238c58074ad873b7a07bbe99f

Observation 473f71d0-b712-4733-8cdb-48750f8482dd · outbound

This paper cites Het- erogeneous graph neural architecture search.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Het- erogeneous graph neural architecture search

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:13.003067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.388512Z digest=sha256:52ab245eb533ba47f91a192de454eba228f5dae96ccc75818c2dfe7e7750c624

Observation de19ab3e-1ff2-42d8-9bb6-3e7303034c79 · outbound

This paper cites Graphnas++: Distributed architecture search for graph neural networks.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Graphnas++: Distributed architecture search for graph neural networks

Reference 16

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raw_fallback, observed 2026-08-08T10:15:12.991715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.392206Z digest=sha256:449dcd037846a8ebf3a3c39932a229129a4a7e56efc04cd3547ca27907990e6d

Observation 294df168-dd9a-4636-93c7-da483f73308c · outbound

This paper cites Hgnas++: efficient architecture search for heterogeneous graph neural networks.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Hgnas++: efficient architecture search for heterogeneous graph neural networks

Reference 17

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raw_fallback, observed 2026-08-08T10:15:12.979708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.395782Z digest=sha256:c625bbb9b1088a91c01a50ac84556b7a902d6eeee14608497288f4ca0d49ada7

Observation 1644654c-8e1b-4993-b4c7-bdd6e51f580a · outbound

This paper cites Large- scale graph neural architecture search.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Large- scale graph neural architecture search

Reference 18

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raw_fallback, observed 2026-08-08T10:15:12.968328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.399327Z digest=sha256:f0bba39970c9c74f9bcf148bdde2d3537fd2e87ed7795de0fd8a82b98c0c7624

Observation efb8d99f-2727-4858-ad36-1d1421ac1132 · outbound

This paper cites Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking

Reference 19

Resolution
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raw_fallback, observed 2026-08-08T10:15:12.957298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.402954Z digest=sha256:c51c3060313652b0855ed62011d69a29ef749ad94890f73076d7a20678bba779

Observation e03d9517-60b5-4494-b9a6-f3da0685555d · outbound

This paper cites Deberta: decoding- enhanced bert with disentangled attention.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Deberta: decoding- enhanced bert with disentangled attention

Reference 20

Resolution
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raw_fallback, observed 2026-08-08T10:15:12.944955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.406697Z digest=sha256:5e8d8d6ac318de00696c19105f496ff97f55dc4a5ca33b49872d90f480611f30

Observation df7a1b84-92c5-4270-a7ed-1d8d25c8151d · outbound

This paper cites Harnessing explanations: Llm-to-lm interpreter for enhanced text- attributed graph representation learning, 2023.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Harnessing explanations: Llm-to-lm interpreter for enhanced text- attributed graph representation learning, 2023

Reference 21

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raw_fallback, observed 2026-08-08T10:15:12.932810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.411316Z digest=sha256:d5dc47c834892517d42caae2c7020a157d16207e79d797e90c5a66557c8b4b22

Observation 3c249c77-9dbd-4941-8774-72dd3dc84356 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Open graph benchmark: Datasets for machine learning on graphs

Reference 22

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no resolver link, observed 2026-08-08T10:15:12.414759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.414759Z digest=sha256:15e7071f6c5457120ae2ba47876f8fedbaf947a280233c7a1359045eb5ec7581

Observation adbc0227-f2ec-4430-aae8-98120168ae20 · outbound

This paper cites Heterogeneous graph transformer.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Heterogeneous graph transformer

Reference 23

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raw_fallback, observed 2026-08-08T10:15:12.913866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.418307Z digest=sha256:c22b37123aceb9a6bd8601bae6229e48ae356b3a67f1b5918e4bf1ffe534be21

Observation 08ddc90c-6245-4123-99c5-6e84e0711153 · outbound

This paper cites Search to aggregate neighborhood for graph neural network.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Search to aggregate neighborhood for graph neural network

Reference 24

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raw_fallback, observed 2026-08-08T10:15:12.901182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.422515Z digest=sha256:bd2a86c35a0ab9c5a04fed699f81d8f497ad8c4161406ac61b4d029f0dee9324

Observation 6a5a1d41-25d4-49d2-a9a4-2bbdc536ec1d · outbound

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

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Semi-Supervised Classification with Graph Convolutional Networks

Reference 25

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no resolver link, observed 2026-08-08T10:15:12.426485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.426485Z digest=sha256:6c9f949876acb28a70e5079209ca40cc107a480aa39fac7cc2a659b86457ce95

Observation 6d521435-29ea-42f8-94c5-cacf51b3554f · outbound

This paper cites ALBERT: A lite BERT for self-supervised learning of language representations.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search ALBERT: A lite BERT for self-supervised learning of language representations

Reference 26

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raw_fallback, observed 2026-08-08T10:15:12.888087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.430747Z digest=sha256:f4c0e6290f053d18d3d8c022e2dff4bb9e8c779ba9b1b3efd87d9f3f91cbd96b

Observation f13b4d48-d3d2-4418-a736-b057eb4bc19a · outbound

This paper cites One-shot graph neural archi- tecture search with dynamic search space.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search One-shot graph neural archi- tecture search with dynamic search space

Reference 27

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raw_fallback, observed 2026-08-08T10:15:12.876743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.434204Z digest=sha256:458ec0895b93f6ac57bf27453cb3f6ffbdfb7d8bc3ec114b502a603827e33ead

Observation b8debc9d-8fc1-47fc-b08b-3645f0516196 · outbound

This paper cites Autograph: Automated graph neural network.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Autograph: Automated graph neural network

Reference 28

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raw_fallback, observed 2026-08-08T10:15:12.865724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.437444Z digest=sha256:f6db1ec5a49d4456c7425c127704f150eaa3b9a3f0c9c1b56c461822355113e1

Observation 92416442-ccd9-4928-82d1-654a638907d2 · outbound

This paper cites Roberta: A robustly optimized BERT pretraining approach.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Roberta: A robustly optimized BERT pretraining approach

Reference 29

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raw_fallback, observed 2026-08-08T10:15:12.854733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.440672Z digest=sha256:55ee1c08eb9ae70c9d127e064c02e8abb863b6353a57113b9b3afdc5b4ceaa53

Observation 16ed54e1-39cb-4c68-9393-db11193a74cc · outbound

This paper cites Graph neural architecture search: A survey.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Graph neural architecture search: A survey

Reference 30

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raw_fallback, observed 2026-08-08T10:15:12.842998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.443540Z digest=sha256:e54d83ff48d17a3c8a43d2d6990b9707eb04d27f1f04a1009d35fc99505533ad

Observation c9140da7-a026-47c1-94ad-a31b8c37d697 · outbound

This paper cites Gpt-4 technical report, 2023.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Gpt-4 technical report, 2023

Reference 31

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unresolved
no resolver link, observed 2026-08-08T10:15:12.446834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.446834Z digest=sha256:a88d5eff7ea94fe800bc9c483851d6703b1f227239776409060cbd795afa4ad0

Observation 3930d19a-c321-4c9c-a41a-8b1b72fe1a10 · outbound

This paper cites Graph neural architecture search under distribution shifts.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Graph neural architecture search under distribution shifts

Reference 32

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raw_fallback, observed 2026-08-08T10:15:12.825199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.449914Z digest=sha256:2e2ce3db379a51ab49831806e4ddb933c38fc42abba74354a80beac35f4a4b9f

Observation 94386c5a-817a-4281-a85a-a9a4519dafbb · outbound

This paper cites Modeling relational data with graph convolutional net- works.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Modeling relational data with graph convolutional net- works

Reference 33

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raw_fallback, observed 2026-08-08T10:15:12.813478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.452774Z digest=sha256:3b2947bd0250749f40c441032f89df3a1e12ca7d7f7e86f41c1c86bb934b358d

Observation e797a099-090b-4726-bb96-a58112c3eb5e · outbound

This paper cites Genetic-gnn: Evolutionary architecture search for graph neural networks.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Genetic-gnn: Evolutionary architecture search for graph neural networks

Reference 34

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raw_fallback, observed 2026-08-08T10:15:12.802390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.455563Z digest=sha256:b1a482c5a08ba97451a25b99a3cc1b28c22342319559a16a216cb714f20c0870

Observation bf2b8c4f-fd08-4b43-8179-f2df2068f892 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.791778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.458477Z digest=sha256:8417b7ef91e2e5fcb824d79844f2d9a75b48f3c45296f2f1fc31c7ce9c6463c7

Observation e73b7b4c-26fc-42e6-aa52-26a46f8e2a8b · outbound

This paper cites Graph attention networks.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Graph attention networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T10:15:12.461634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.461634Z digest=sha256:e5e883dcf03b8518b87227cea4b2854ea9991815720b187f219b2860f092c90f

Observation 7390bd28-987c-4b84-82e0-a7aacaf22449 · outbound

This paper cites Graph neural architecture search with gpt-4.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Graph neural architecture search with gpt-4

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.772495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.464915Z digest=sha256:fc8da25eacacb375694159e3ae38c878c257b05872e8ec1713faafad9bb60f80

Observation a3ceb0bd-12df-4e49-acb5-6ef78e821e96 · outbound

This paper cites Heterogeneous graph attention network.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Heterogeneous graph attention network

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T10:15:12.468445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.468445Z digest=sha256:96c12a0315a592b81068ff8d5a9e0be510350a184f415bf0579c66f36bfbf824

Observation 4e02ea57-8975-4a33-877d-ba0859c07646 · outbound

This paper cites Autogel: An automated graph neural net- work with explicit link information.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Autogel: An automated graph neural net- work with explicit link information

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.753973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.472804Z digest=sha256:353fb23dcf869594584b1ce93554e12092c40a6ca1772c77ef000e2add870e3a

Observation 0a62761b-7723-4630-9b85-d7ebde41b1f7 · outbound

This paper cites Adversarially robust neural architecture search for graph neural networks.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Adversarially robust neural architecture search for graph neural networks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.742568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.476388Z digest=sha256:d64bf16255ee834a7bcd4f0c9c53b5a87b7bb15567bdaa8c2d58264362d72abf

Observation 3f79bb3c-3334-4599-937a-176feae6d7bf · outbound

This paper cites Large language models as optimizers.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Large language models as optimizers

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.730921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.479952Z digest=sha256:7061a6c4e334d60ec8c1b7258956c717e7103b000937e44d8d3fc771b74e8419

Observation f85c8584-e7c8-469a-8131-3e4a626cabb5 · outbound

This paper cites Graph-toolformer: To empower llms with graph reasoning ability via prompt augmented by chatgpt.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Graph-toolformer: To empower llms with graph reasoning ability via prompt augmented by chatgpt

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.720074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.483717Z digest=sha256:5ba2d715445d621d8e7cc7f9ab1acd70f5a92572e7ec8ae65b89ea8dd32376b6

Observation 9e46fd5a-2e9e-4b30-be55-cd74d1af8111 · outbound

This paper cites Using large language models for hyperparameter optimization.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Using large language models for hyperparameter optimization

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.709435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.487162Z digest=sha256:7e487b475e593c5e8a1c8fbdda9f59927f51c86bc23553eb2138695b5425bdf4

Observation d8d1c76b-cb73-4be5-9b92-4f34d632a899 · outbound

This paper cites Automl-gpt: Automatic machine learning with gpt.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Automl-gpt: Automatic machine learning with gpt

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.698345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.491076Z digest=sha256:dd6b0ef47cedb74090b468e00b8cd54c6cc3f734b4451a0fc8c7057027c18d08

Observation 7a1c2d5a-46cb-4190-9f8f-2d80e63914cb · outbound

This paper cites Pasca: A graph neural architecture search system under the scalable paradigm.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Pasca: A graph neural architecture search system under the scalable paradigm

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.686359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.494697Z digest=sha256:254f6d64f5b92b2fcebfe53f625e594d95e57b04aab0127df07bcb3f3290604e

Observation de9e3741-94d3-4819-baef-b5047fa6c9f7 · outbound

This paper cites Dynamic heterogeneous graph attention neural architecture search.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Dynamic heterogeneous graph attention neural architecture search

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.674940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.498161Z digest=sha256:ecb472bc5d900ce778a1a72a5647649f29087aa2f9540d0261b91baf82f795b0

Observation 3e7be1e2-130b-4784-9c0b-505601e621b8 · outbound

This paper cites Automated machine learning on graphs: A survey.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Automated machine learning on graphs: A survey

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.662026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.501879Z digest=sha256:4cc1474bbda20eb54350d101f4d03b83c68266de4fd41eac35b8e3cd425b30ff

Observation 63dcd1c9-6c1e-4612-8833-769d7168bfcf · outbound

This paper cites Autogt: Automated graph transformer architecture search.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Autogt: Automated graph transformer architecture search

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.648757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.505562Z digest=sha256:dec43f32f9f40f06e76776fb12a9a4684fce26b278687b2a38981f1d44596be8

Observation 92b57a4b-c0ef-4687-8d1e-2d89c5ac073d · outbound

This paper cites Can gpt-4 perform neural architecture search? ArXiv preprint, 2023.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Can gpt-4 perform neural architecture search? ArXiv preprint, 2023

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.636579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.509167Z digest=sha256:c7be0d660e3070a6c477932f141cca764e130aae205648ff9df0b18dec7f6755

Observation 2d2e0c2d-ab26-4412-8fdf-85263fce65a4 · outbound

This paper cites Auto-heg: Automated graph neural network on heterophilic graphs.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Auto-heg: Automated graph neural network on heterophilic graphs

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.624853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.513000Z digest=sha256:f3a4b9087a87b23b13ebaea447e51d08a27062e82a8faf7af9d45a9de8694f68

Observation 37820f39-d587-4f16-8afb-fa965042c42c · outbound

This paper cites Multi-relational graph neural architecture search with fine-grained message passing.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Multi-relational graph neural architecture search with fine-grained message passing

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.614141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.517163Z digest=sha256:cdb729108080f740e8d2d649b047b186bc42dbb924cfdc42c112a4bc3e4e1902

Observation 5871caa4-66f9-41a9-a233-dec482b8f40e · outbound

This paper cites Auto-gnn: Neural architecture search of graph neural networks.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Auto-gnn: Neural architecture search of graph neural networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:15:12.602543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T10:15:12.521257Z digest=sha256:1082a3c932a5b14552e9f65f43936b1820ce7a2d14c470a299cda3c0007e16bf

Pith citing papers

Observation ea22e792-a2e9-4167-834f-3ea8266a9e64 · inbound

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning cites this paper.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:27:50.825725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:27:49.840646Z digest=sha256:02ea3d7528b61fcf789e13a372912f6dc82b46fbcdfe105e5794d59772beb4a9