Paper Citation Record · LEDGER

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2505.10806.

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

pith.paper-citation-record.v1
2505.10806 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:07:00.050141Z

measured 42 of 42 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T12:20:12.433442Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:16:24.641955Z

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d29f399-150a-4cfd-9c91-5bc3b30733d5 · outbound

This paper cites Neural message passing for quantum chemistry,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Neural message passing for quantum chemistry,

Reference 1

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Observation 668b374d-185f-44dd-9b15-478e6ae1e2a4 · outbound

This paper cites Graph neural networks for automated de novo drug design,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Graph neural networks for automated de novo drug design,

Reference 2

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Observation 5e84cde9-9139-4c39-b992-e9a80c4c8ae6 · outbound

This paper cites Multiphysical graph neural network (mp-gnn) for covid-19 drug design,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Multiphysical graph neural network (mp-gnn) for covid-19 drug design,

Reference 3

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This paper cites Highly accurate protein structure prediction with alphafold,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Highly accurate protein structure prediction with alphafold,

Reference 4

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Observation 30a6348f-8b15-4103-9178-1c95a6f90d3f · outbound

This paper cites Prediction of protein–protein interaction using graph neural networks,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Prediction of protein–protein interaction using graph neural networks,

Reference 5

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Observation d1c83230-6a79-49ea-9437-15e7a770c11a · outbound

This paper cites Deeprank-gnn: a graph neural network framework to learn patterns in protein–protein interfaces,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Deeprank-gnn: a graph neural network framework to learn patterns in protein–protein interfaces,

Reference 6

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Observation 01c2d8fe-c71f-4945-b0be-028e8fd07b71 · outbound

This paper cites Graph neural networks for materials science and chemistry,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Graph neural networks for materials science and chemistry,

Reference 7

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Observation 38f8411e-c805-4035-890b-11c6711bbf18 · outbound

This paper cites E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials,

Reference 8

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Observation 077ec346-eabb-4164-ab09-08c50675cdad · outbound

This paper cites Graph neural networks in network neuroscience,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Graph neural networks in network neuroscience,

Reference 9

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Observation 07d8d635-9ccd-406c-9f53-11c51127bbdf · outbound

This paper cites Fbnetgen: Task- aware gnn-based fmri analysis via functional brain network generation,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Fbnetgen: Task- aware gnn-based fmri analysis via functional brain network generation,

Reference 10

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Observation 3977893a-bf1d-43c5-9379-3ef0e65556e3 · outbound

This paper cites Graph neural networks in particle physics,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Graph neural networks in particle physics,

Reference 11

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Observation da9ed1ec-8ad5-434d-989b-6c850ca331b0 · outbound

This paper cites Graph neural networks for intrusion detection: A survey,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Graph neural networks for intrusion detection: A survey,

Reference 12

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Observation e537ad65-fdec-4470-af69-41acc8f8e734 · outbound

This paper cites Four degrees of separation,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Four degrees of separation,

Reference 13

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Observation f4ada771-6879-45ba-94e6-cabb0756716d · outbound

This paper cites Meta reports fourth quarter and full year 2024 results,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Meta reports fourth quarter and full year 2024 results,

Reference 14

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Source-reported events for the cited work

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Observation 225b16df-7762-48b2-99b4-6c19c365494c · outbound

This paper cites One trillion edges: Graph processing at facebook-scale,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks One trillion edges: Graph processing at facebook-scale,

Reference 15

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Observation b284f034-d7e0-4e38-ad41-31b0b9398143 · outbound

This paper cites Dgcl: An efficient communication library for distributed gnn training,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Dgcl: An efficient communication library for distributed gnn training,

Reference 16

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Observation e5257ff3-2288-4742-8450-d790cb1cc3c5 · outbound

This paper cites Distributed graph neural network training: A survey,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Distributed graph neural network training: A survey,

Reference 17

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Observation 05c191b9-e32c-41c8-b058-1701604d6ea9 · outbound

This paper cites Dynamic Load Balancing Strategies for Graph Applications on GPUs.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Dynamic Load Balancing Strategies for Graph Applications on GPUs

Reference 18

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Observation ac86bf64-5058-4ec6-b8f2-5cb5547e93fa · outbound

This paper cites Inductive representation learning on large graphs,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Inductive representation learning on large graphs,

Reference 19

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Observation f5241048-ec2f-45ac-a738-cc44176b8ed6 · outbound

This paper cites FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Reference 20

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Observation 742c57b3-0b1d-42bf-98ce-fb87d60e6be7 · outbound

This paper cites Layer-dependent importance sampling for training deep and large graph convolutional networks,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Layer-dependent importance sampling for training deep and large graph convolutional networks,

Reference 21

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Observation 5d329040-3be5-4403-afa8-caf5df140388 · outbound

This paper cites Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks

Reference 22

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Observation 18c4661d-7e8f-48e1-b3a2-d59f32080d79 · outbound

This paper cites Distdgl: Distributed graph neural network training for billion-scale graphs,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Distdgl: Distributed graph neural network training for billion-scale graphs,

Reference 23

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Observation 7a5ddbc2-2fcd-443c-b7da-1cf14c5c0b15 · outbound

This paper cites P3: Distributed deep graph learning at scale,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks P3: Distributed deep graph learning at scale,

Reference 24

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Observation e49d1b0a-90a2-4a6b-8f39-59b812f0954c · outbound

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

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 25

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Observation 5c685251-379d-48ed-9c87-826ab027153a · outbound

This paper cites Stochastic Training of Graph Convolutional Networks with Variance Reduction.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 26

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Observation 5abfed0c-3c76-45df-bc92-3a872805e031 · outbound

This paper cites Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks,

Reference 27

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Observation 4a733702-5ca8-48c3-8a43-67b58e1ab08e · outbound

This paper cites GraphSAINT: Graph Sampling Based Inductive Learning Method.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 28

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Observation e985bdb5-8e40-400b-9142-9e24193f1d75 · outbound

This paper cites A fast and high quality multilevel scheme for partitioning irregular graphs,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks A fast and high quality multilevel scheme for partitioning irregular graphs,

Reference 29

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Observation bd09720b-b141-4726-9899-c0583ef0883d · outbound

This paper cites Two-level graph caching for expediting distributed gnn training,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Two-level graph caching for expediting distributed gnn training,

Reference 30

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Observation e3bfe255-13a5-4fe6-9786-6840dd09aa9e · outbound

This paper cites Dgs: Communication-efficient graph sampling for distributed gnn training,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Dgs: Communication-efficient graph sampling for distributed gnn training,

Reference 31

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Observation c2dfe812-2588-4e94-83aa-e0ac573f7fb8 · outbound

This paper cites Dense graph partitioning on sparse and dense graphs,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Dense graph partitioning on sparse and dense graphs,

Reference 32

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Observation b7577ac3-b0de-4695-bc3f-fd882f720ab4 · outbound

This paper cites Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication

Reference 33

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Observation 3911c1bb-6e73-4fb8-8e9f-ade240d46bb7 · outbound

This paper cites Adaptive message quantization and parallelization for distributed full-graph gnn training,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Adaptive message quantization and parallelization for distributed full-graph gnn training,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:00.485570Z

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Observation 37819fc8-45c0-4afc-8976-258cb965097b · outbound

This paper cites Sc-gnn: A communication-efficient semantic compression for distributed training of gnns,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Sc-gnn: A communication-efficient semantic compression for distributed training of gnns,

Reference 35

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Observation ae41ea63-b669-4821-886c-3fcff7c5b00e · outbound

This paper cites Dorylus: Affordable, scalable, and accurate{GNN} training with distributed{CPU} servers and serverless threads,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Dorylus: Affordable, scalable, and accurate{GNN} training with distributed{CPU} servers and serverless threads,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:00.449431Z

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Observation 66e6af86-58b4-49d6-a1c3-d64b0cb98d08 · outbound

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

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 37

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This paper cites RedditDataset — DGL 2.5 documentation,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks RedditDataset — DGL 2.5 documentation,

Reference 38

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Observation 7a5b6257-6837-47ab-ae89-ef3adb9d92f5 · outbound

This paper cites Lessons learned from the chameleon testbed,.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Lessons learned from the chameleon testbed,

Reference 39

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This paper cites NVIDIA Management Library (NVML),.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks NVIDIA Management Library (NVML),

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:07:00.396936Z

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Observation d1d4ee86-f49f-4d3a-b1e2-80b7a60de0ba · outbound

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RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks psutil 7.0.0,

Reference 41

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Pith citing papers

Observation 2c980397-75a1-4f79-9a80-968cb1c7a20c · inbound

GreenGNN: Energy-Aware Windowed Communication Optimization for Distributed GNN Training cites this paper.

GreenGNN: Energy-Aware Windowed Communication Optimization for Distributed GNN Training RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks

Reference 26

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