Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:45:10.741039Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2411.16025.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:45:10.741039Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
72 of 72 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Stochastic Training of Graph Convolutional Networks with Variance Reduction
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Toward Understanding the Impact of Staleness in Distributed Machine Learning
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Fast Graph Representation Learning with PyTorch Geometric
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Computers in Biology and Medicine 127 (2020), 104096
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Unresolved cited work
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Reference 2018
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Reference 2020
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