Paper Citation Record · LEDGER

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics

As of 21 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2505.10711.

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

pith.paper-citation-record.v1
2505.10711 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:43.988485Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:53:53.558644Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T03:56:44.313477Z

Reference resolution

61 of 61 outbound references displayed

verified exact1
verified fuzzy39
unresolved20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbcba8ff-3505-440b-9fbd-7ca823a73945 · outbound

This paper cites Aaltonen, Federico Abascal, Adam Abeshouse, Hiroyuki Aburatani, David J.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Aaltonen, Federico Abascal, Adam Abeshouse, Hiroyuki Aburatani, David J

Reference 1

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Observation 9ce7a249-6965-43b6-807c-e724eab2bba9 · outbound

This paper cites A survey on graph-based deep learning for computational histopathology.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics A survey on graph-based deep learning for computational histopathology

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:47.969365Z

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Observation 6782a803-9360-4cee-8a66-4dbc6ffab04b · outbound

This paper cites Performance Measures for Binary Classification.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Performance Measures for Binary Classification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:47.867880Z

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Observation e0942a96-3f1a-4e07-8d7d-eb05b33d084e · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 4

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Observation 0e8ccdb2-892b-4f5c-970f-c289c3e8870e · outbound

This paper cites Geometric deep learning: going beyond Euclidean data.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Geometric deep learning: going beyond Euclidean data

Reference 5

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Source-reported events for the cited work

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Observation e5501047-07dd-442c-be40-6681b29e348a · outbound

This paper cites Simple and Deep Graph Convolutional Networks.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Simple and Deep Graph Convolutional Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:42.480414Z

Source-reported events for the cited work

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Observation 1f828813-02ec-47bd-bb28-48d18f1151d8 · outbound

This paper cites an unresolved cited work.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Unresolved cited work

Reference 7

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Observation 3c96632e-67c3-4e94-ba33-df5542012229 · outbound

This paper cites Floden, Pablo Prieto Barja, Emilio Palumbo, and Cedric Notredame.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Floden, Pablo Prieto Barja, Emilio Palumbo, and Cedric Notredame

Reference 8

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Observation f67d0926-826b-4c4b-accd-dbae37f8caa3 · outbound

This paper cites Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, and Tom L.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, and Tom L

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:47.685235Z

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Observation 8312a3b7-1900-4239-9fcc-3d561f533a56 · outbound

This paper cites Benchmarking Graph Neural Networks.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Benchmarking Graph Neural Networks

Reference 10

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Source-reported events for the cited work

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Observation c1e0b557-2c60-4f88-8650-570075e8c4db · outbound

This paper cites Discovering cancer driver genes and pathways using stochastic block model graph neural networks, June 2021.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Discovering cancer driver genes and pathways using stochastic block model graph neural networks, June 2021

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:47.636149Z

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Observation c0e86d1e-6691-4894-9a60-85be171cd9eb · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Fast Graph Representation Learning with PyTorch Geometric

Reference 12

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Observation f0d9ff3c-6cc3-4b6a-bbc3-8c70972ff6ed · outbound

This paper cites Neural Message Passing for Quantum Chemistry.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Neural Message Passing for Quantum Chemistry

Reference 13

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Source-reported events for the cited work

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Observation 2a130ed4-03ba-49a1-a183-fef5f392f345 · outbound

This paper cites GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System

Reference 14

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Observation 7e054b57-2410-40eb-8cdf-f6c11fc52d61 · outbound

This paper cites Greener, Shaun M.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Greener, Shaun M

Reference 15

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Observation 427fb995-2445-4bc0-b481-190562a85491 · outbound

This paper cites Inductive Representation Learning on Large Graphs.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Inductive Representation Learning on Large Graphs

Reference 16

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Source-reported events for the cited work

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Observation bf318f28-89df-440b-9e4f-3bf236ab7e1d · outbound

This paper cites Weinberg.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Weinberg

Reference 17

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Observation 5c484b94-d834-4b66-8dfd-7c9cd761ad54 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 18

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Observation b0e47c17-172d-4a9d-bd88-bf492a5402b9 · outbound

This paper cites Jackson, Edward Wallace, and Kostas Kavoussanakis.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Jackson, Edward Wallace, and Kostas Kavoussanakis

Reference 19

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Observation 0674c280-2c16-4a63-becc-ef947aa6e450 · outbound

This paper cites Marjaneh, Alan E.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Marjaneh, Alan E

Reference 20

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Observation 170df958-a7a9-4728-9d0a-c9a5c339e114 · outbound

This paper cites PubChem in 2021: new data content and improved web interfaces.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics PubChem in 2021: new data content and improved web interfaces

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:47.214403Z

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Observation 576addb3-4198-453c-9daa-d7674135b7ae · outbound

This paper cites Kipf and Max Welling.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Kipf and Max Welling

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:47.161313Z

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Observation 5dc85594-91d7-44f4-9b24-eddd11b1bb32 · outbound

This paper cites Langer, Andreia Amaral, Marie-Odile Baudement, Franziska Bonath, Mathieu Charles, Praveen Krishna Chitneedi, Emily L.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Langer, Andreia Amaral, Marie-Odile Baudement, Franziska Bonath, Mathieu Charles, Praveen Krishna Chitneedi, Emily L

Reference 23

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Observation 1fc324c5-678e-48e8-8055-ff0e10e1e119 · outbound

This paper cites ChEMBL: towards direct deposition of bioassay data.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics ChEMBL: towards direct deposition of bioassay data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:46.872402Z

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Observation 8fb4ef65-227d-4e2c-9c5f-8d2b6cb7337b · outbound

This paper cites Munafò, Brian A.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Munafò, Brian A

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:46.820679Z

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Observation 0eeaeadd-b989-49b7-8c5b-a2793693494d · outbound

This paper cites Olson, William La Cava, Patryk Orzechowski, Ryan J.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Olson, William La Cava, Patryk Orzechowski, Ryan J

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:46.703575Z

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Observation 943fbd1e-85d5-4e06-8648-1aba254e4cf7 · outbound

This paper cites Reflecting on ten years of Nextflow awesomeness.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Reflecting on ten years of Nextflow awesomeness

Reference 27

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Observation 1a0b316c-2328-4503-b0b4-a56203c90522 · outbound

This paper cites The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:46.536759Z

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Observation 916e3cb5-8d04-4fd2-8f32-77b147b469aa · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 29

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Observation c22ed321-6c67-4f87-bb48-29a4b24025b1 · outbound

This paper cites Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program).

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)

Reference 30

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Observation 555ce5ac-d6b7-428f-873a-a0f020a5ffd7 · outbound

This paper cites Reyna, David Haan, Marta Paczkowska, Lieven P.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Reyna, David Haan, Marta Paczkowska, Lieven P

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:46.207178Z

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Observation 9f4df992-8bc2-4c01-806d-733b34cc37bd · outbound

This paper cites an unresolved cited work.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:46.068158Z

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Observation 0945c705-c53b-4767-8e05-92ba4765e8ff · outbound

This paper cites DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces

Reference 33

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Observation b96900c6-dc48-4772-a442-98325c1de3cf · outbound

This paper cites The Graph Neural Network Model.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics The Graph Neural Network Model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.840684Z

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Observation 4a842ab2-bfa7-44c3-91d4-0f340571ed75 · outbound

This paper cites Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.716431Z

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Observation 49e26c8a-d3c0-4355-9cce-3704d4ec9cd9 · outbound

This paper cites Point-gnn: Graph neural network for 3d object detection in a point cloud.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Point-gnn: Graph neural network for 3d object detection in a point cloud

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.632934Z

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Observation a0e37a09-794b-47e4-aa9e-525ccf0232e2 · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 37

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This paper cites Cole, Sari A.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Cole, Sari A

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.534570Z

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Observation f3603ce5-e154-443c-8766-ea774ac8954c · outbound

This paper cites Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.421705Z

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Observation c7fb7f38-4547-4b1a-b3c6-76301b4cb68f · outbound

This paper cites Stratton, Peter J.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Stratton, Peter J

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.311861Z

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Observation 10aef151-de68-47b4-80ea-7471568cdb95 · outbound

This paper cites Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, and Freddie Bray.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, and Freddie Bray

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.176554Z

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Observation a3209227-b9f1-4502-b06a-34a2340a2b17 · outbound

This paper cites Gable, Katerina C.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Gable, Katerina C

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.157807Z

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Observation e2e1891f-d025-4f00-a158-64729829c678 · outbound

This paper cites Scientific machine learning benchmarks.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Scientific machine learning benchmarks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.093794Z

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Observation 75b49fae-306b-42fa-b4a3-6e8005188b66 · outbound

This paper cites Characterisation of tumour microenvironment remodelling following oncogene inhibition in preclinical studies with imaging mass cytometry.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Characterisation of tumour microenvironment remodelling following oncogene inhibition in preclinical studies with imaging mass cytometry

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:45.006536Z

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Observation 0c8a075b-f81b-46bf-9ecd-409feef0af55 · outbound

This paper cites Attention Is All You Need.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Attention Is All You Need

Reference 45

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This paper cites MESSAGE PASSING ALL THE W AY UP.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics MESSAGE PASSING ALL THE W AY UP

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:44.943599Z

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Observation 4fdebdc1-d117-49d5-b94f-d51afb662e14 · outbound

This paper cites Graph Attention Networks.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Graph Attention Networks

Reference 47

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Source-reported events for the cited work

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Observation 4711ba1b-36aa-4f4f-877e-f8b2207ad632 · outbound

This paper cites Open Science now: A systematic literature review for an integrated definition.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Open Science now: A systematic literature review for an integrated definition

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:44.877405Z

Source-reported events for the cited work

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Observation d460c2a4-b4c9-423f-83e9-6c26c9657e7d · outbound

This paper cites Velculescu, Shibin Zhou, Luis A.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Velculescu, Shibin Zhou, Luis A

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:44.859796Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bb1f0c3-fb3a-44f5-a8ac-04ae024a4a88 · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:43.769630Z

Source-reported events for the cited work

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This paper cites Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E

Reference 51

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Observation af99365f-d7c6-4bb7-ad2c-2f40f811d7d2 · outbound

This paper cites an unresolved cited work.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:44.720937Z

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Observation c39b4624-f3c9-42e5-8507-6c8022545214 · outbound

This paper cites How Powerful are Graph Neural Networks?.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics How Powerful are Graph Neural Networks?

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:43.828573Z

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Observation b24c4474-5d97-484f-90cd-a326be0e6828 · outbound

This paper cites Edelman, Howard Lightfoot, Simon Forbes, Nidhi Bindal, Dave Beare, James A.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Edelman, Howard Lightfoot, Simon Forbes, Nidhi Bindal, Dave Beare, James A

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:44.666630Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a10c65dd-554c-4434-86bb-730d42e90d5f · outbound

This paper cites QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:43.903983Z

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Observation 0aa73422-4931-4ea6-a83e-78ca63270aea · outbound

This paper cites Inferring high-confidence human protein-protein interactions.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Inferring high-confidence human protein-protein interactions

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:44.608188Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ba4353ab-1567-44d6-b37b-53cbdf6dbd1c · outbound

This paper cites Analysis of Protein–Protein Functional Associations by Using Gene Ontology and KEGG Pathway.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Analysis of Protein–Protein Functional Associations by Using Gene Ontology and KEGG Pathway

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:44.559890Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91c9d48a-968b-428f-b6d8-c115e9dddea0 · outbound

This paper cites Graph Neural Networks and Their Current Applications in Bioinformatics.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Graph Neural Networks and Their Current Applications in Bioinformatics

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:44.497342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf6e3bef-5518-4d1d-9087-7463eb95c27b · outbound

This paper cites GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:08:44.098487Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3301373b-99fe-4682-82a0-82a7c5add5d5 · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:44.458015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c987a23d-c0e0-4b3c-80e1-1fa646c3a943 · outbound

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

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Semi-Supervised Classification with Graph Convolutional Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:43.088939Z

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Pith citing papers

Observation 34ae5fba-9ba9-4c4c-8ed7-eb264cd24df3 · inbound

EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy cites this paper.

EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-10T03:56:44.315502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bd637bf-3ef1-4034-b464-8f68be94a2b7 · inbound

EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy cites this paper.

EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T07:53:53.558644Z

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