Paper Citation Record · LEDGER

Demystifying Distributed Training of Graph Neural Networks for Link Prediction

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.20818.

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

pith.paper-citation-record.v1
2506.20818 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:45:36.677076Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:22:03.651145Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:22:03.864518Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 074fd7f7-b73a-4860-873b-5ce4b221ec67 · outbound

This paper cites The link prediction problem for social networks,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction The link prediction problem for social networks,

Reference 1

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Observation 0ec62b86-b5c3-4374-a97c-22eaec8b3c5d · outbound

This paper cites Learning entity and relation embeddings for knowledge graph completion,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Learning entity and relation embeddings for knowledge graph completion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:42.820596Z

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Observation 9f0f2555-25d0-4a7e-accd-cc7ab4f61c1e · outbound

This paper cites Link prediction in complex networks: A survey,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Link prediction in complex networks: A survey,

Reference 3

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Observation f1e26cbe-85f7-4ad2-a30f-8acc9b378ac3 · outbound

This paper cites Link prediction tech- niques, applications, and performance: A survey,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Link prediction tech- niques, applications, and performance: A survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:42.587314Z

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Observation f6c0a192-9f16-4b79-bfaa-dd2c845ce1a1 · outbound

This paper cites Graph neural networks: foundation, frontiers and applications,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Graph neural networks: foundation, frontiers and applications,

Reference 5

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Observation f463dac1-d486-43bc-abb7-974afea4352c · outbound

This paper cites Ma and J.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Ma and J

Reference 6

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Source-reported events for the cited work

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Observation ed7e3ce3-7521-482e-bb8d-eea4050eb364 · outbound

This paper cites Graph representation learning,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Graph representation learning,

Reference 7

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Observation 6a98bbcd-3fe0-4bc4-97ae-97facb5f14c5 · outbound

This paper cites Characterizing the efficiency of graph neural network frameworks with a magnifying glass,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Characterizing the efficiency of graph neural network frameworks with a magnifying glass,

Reference 8

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Observation 1c4f30a4-45f7-47f5-ae0e-c047e84cd70d · outbound

This paper cites Heterogeneous spatio- temporal graph convolution network for traffic forecasting with missing values,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Heterogeneous spatio- temporal graph convolution network for traffic forecasting with missing values,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:42.077041Z

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Observation 3ccea1e5-0729-4873-a871-56f3c515c03f · outbound

This paper cites GRAFICS: Graph embedding-based floor identification using crowdsourced RF signals,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction GRAFICS: Graph embedding-based floor identification using crowdsourced RF signals,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:41.973596Z

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Observation 0a4343b3-4213-4ccb-807e-06f5df718cff · outbound

This paper cites Embedding communication for federated graph neural networks with privacy guarantees,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Embedding communication for federated graph neural networks with privacy guarantees,

Reference 11

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Source-reported events for the cited work

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Observation 3f24921e-1e44-4722-8d80-bfc9e281e338 · outbound

This paper cites Mega: More efficient graph attention for GNNs,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Mega: More efficient graph attention for GNNs,

Reference 12

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Observation 880e934b-0950-4cd7-84e8-c710853dc1c1 · outbound

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

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Semi-supervised classification with graph convolutional networks,

Reference 13

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Observation 91215725-c048-44a1-adb4-a073fc78252f · outbound

This paper cites Graph attention networks,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Graph attention networks,

Reference 14

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Observation 1b894b37-a4bc-4d6b-bef4-91ce3be0cb04 · outbound

This paper cites Inductive representation learning on large graphs,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Inductive representation learning on large graphs,

Reference 15

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Observation 9368a710-4ffb-4e5e-a77d-3ddb9efbdf5d · outbound

This paper cites How powerful are graph neural networks?.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction How powerful are graph neural networks?

Reference 16

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Observation 4219d68e-05d3-4e91-8c06-c223033d3e8b · outbound

This paper cites Position-aware graph neural net- works,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Position-aware graph neural net- works,

Reference 17

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Source-reported events for the cited work

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Observation 92900ba4-f927-4fcd-9138-d10a6e6c3af0 · outbound

This paper cites Graph convolutional neural networks for web-scale rec- ommender systems,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Graph convolutional neural networks for web-scale rec- ommender systems,

Reference 18

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Observation 45cc2d2c-7f85-4684-9f86-e1008b0d31b9 · outbound

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

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Modeling relational data with graph convolutional networks,

Reference 19

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Observation 6d04e27a-a98e-4dc0-8b10-7e0e9179a428 · outbound

This paper cites Fast graph representation learning with PyTorch Geometric,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Fast graph representation learning with PyTorch Geometric,

Reference 20

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Observation f9a7a4ea-0d46-4a30-936b-8abffcb5ca7a · outbound

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

Demystifying Distributed Training of Graph Neural Networks for Link Prediction DistDGL: Distributed graph neural network training for billion-scale graphs,

Reference 21

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Observation 367d330b-6d87-48c1-84d9-0394237c6641 · outbound

This paper cites Distributed hybrid CPU and GPU training for graph neural networks on billion-scale heterogeneous graphs,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Distributed hybrid CPU and GPU training for graph neural networks on billion-scale heterogeneous graphs,

Reference 22

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Observation 3e491b41-ebe7-419c-89a7-2117d158e385 · outbound

This paper cites DistGNN: Scalable distributed training for large-scale graph neural networks,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction DistGNN: Scalable distributed training for large-scale graph neural networks,

Reference 23

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Observation 900b8fee-9968-43cd-be48-5a196e4cdda7 · outbound

This paper cites BGL: GPU-Efficient GNN training by optimizing graph data I/O and preprocessing,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction BGL: GPU-Efficient GNN training by optimizing graph data I/O and preprocessing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:40.559368Z

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Observation 8653cf94-fef9-4143-a8be-fb13aa7c2a25 · outbound

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

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Adaptive message quantization and parallelization for distributed full-graph GNN training,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:40.400144Z

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Observation bbdcd448-beb2-4751-8b6f-e4807069a30b · outbound

This paper cites Simplifying distributed neural network training on massive graphs: Randomized partitions improve model aggregation,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Simplifying distributed neural network training on massive graphs: Randomized partitions improve model aggregation,

Reference 26

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Observation e15f5101-649c-4c79-8f91-5f9dfaf378b5 · outbound

This paper cites Multilevel k-way partitioning scheme for irregular graphs,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Multilevel k-way partitioning scheme for irregular graphs,

Reference 27

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Observation bde70a4d-cc83-4163-b745-70ff974b2790 · outbound

This paper cites DeepWalk: Online learning of social representations,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction DeepWalk: Online learning of social representations,

Reference 28

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Observation d9cf7c2a-54f0-43c5-8d33-dc2a3f393bfe · outbound

This paper cites node2vec: Scalable feature learning for networks,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction node2vec: Scalable feature learning for networks,

Reference 29

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Observation e1695208-c112-4f02-91b2-d2173162b9e9 · outbound

This paper cites Does negative sampling matter? a review with insights into its theory and applications,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Does negative sampling matter? a review with insights into its theory and applications,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:39.857901Z

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Observation fb8d689c-d6b2-4b4f-a80e-7f6c2778cbfd · outbound

This paper cites Under- standing negative sampling in graph representation learning,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Under- standing negative sampling in graph representation learning,

Reference 31

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Observation 572b938c-d581-4a3d-8a1e-bcc430ee8466 · outbound

This paper cites Learn locally, correct globally: A distributed algorithm for training graph neural networks,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Learn locally, correct globally: A distributed algorithm for training graph neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:39.528522Z

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Observation dcb4ec45-99f9-47dd-846c-891c6ae2fc99 · outbound

This paper cites Demystifying graph sparsification algorithms in graph properties preservation,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Demystifying graph sparsification algorithms in graph properties preservation,

Reference 33

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Observation ef26410e-3ad2-467e-9c68-ea963c6d1c3e · outbound

This paper cites Graph sparsification by effective resistances,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Graph sparsification by effective resistances,

Reference 34

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Observation 734e88eb-840a-4b60-97ec-935e97b0349f · outbound

This paper cites LightNE: A lightweight graph processing system for network embedding,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction LightNE: A lightweight graph processing system for network embedding,

Reference 35

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Observation 22170d43-341a-4868-9ee9-a90b8f775acd · outbound

This paper cites DSpar: An embarrassingly simple strategy for efficient GNN training and inference via degree-based sparsification,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction DSpar: An embarrassingly simple strategy for efficient GNN training and inference via degree-based sparsification,

Reference 36

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Observation 65bcd6c3-c182-4250-bb81-ae04494e7965 · outbound

This paper cites Sur- vey on graph neural network acceleration: An algorithmic perspective,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Sur- vey on graph neural network acceleration: An algorithmic perspective,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:38.263623Z

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Observation f4445979-6fcc-4994-afa9-4f615a646282 · outbound

This paper cites Open Graph Benchmark: Datasets for machine learning on graphs,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Open Graph Benchmark: Datasets for machine learning on graphs,

Reference 38

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Observation dbd13038-8018-4e59-b794-f423a19de163 · outbound

This paper cites Random walks on graphs: A survey,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Random walks on graphs: A survey,

Reference 39

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Observation e603389c-59c9-4432-ae79-b025d986191f · outbound

This paper cites On the convergence of FedAvg on Non-IID data,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction On the convergence of FedAvg on Non-IID data,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:37.435425Z

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Observation 3c4b92bc-f5e2-4c6d-8dab-dd9a049f3d88 · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library,.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction PyTorch: An imperative style, high-performance deep learning library,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:37.171874Z

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Observation 53f1a4f7-cd49-4958-b155-bb367cb98e87 · outbound

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

Demystifying Distributed Training of Graph Neural Networks for Link Prediction Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 42

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Demystifying Distributed Training of Graph Neural Networks for Link Prediction PyTorch distributed: Experi- ences on accelerating data parallel draining,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:36.915704Z

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Observation 870601d0-bdc6-4419-93cd-0ba0ced36123 · outbound

This paper cites How attentive are graph attention networks?.

Demystifying Distributed Training of Graph Neural Networks for Link Prediction How attentive are graph attention networks?

Reference 44

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Pith citing papers

Observation 8d29a7c8-ee53-4265-ab31-bfdef5b4d551 · inbound

Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph cites this paper.

Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph Demystifying Distributed Training of Graph Neural Networks for Link Prediction

Reference 2

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