Paper Citation Record · LEDGER

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs

As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.17374.

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

pith.paper-citation-record.v1
2607.17374 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:18:15.313964Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6f53c76-103d-41fb-bb27-05ca40141eab · outbound

This paper cites Atlas: Efficient out-of-core inference for billion-scale graph neural networks,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Atlas: Efficient out-of-core inference for billion-scale graph neural networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.017290Z

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Observation 88a5c247-a3d5-41bd-a1f7-9b4051b49ee4 · outbound

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

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Semi-supervised classification with graph convolutional networks,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.026779Z

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Observation 1918ae74-e2ad-455b-8961-3e15f94e4ef4 · outbound

This paper cites Inductive representation learning on large graphs,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Inductive representation learning on large graphs,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.034602Z

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Observation 5f4bd551-57c8-4e4e-ae8c-621c09b7ef33 · outbound

This paper cites Enhancing graph neural network-based fraud detectors against camouflaged fraudsters,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Enhancing graph neural network-based fraud detectors against camouflaged fraudsters,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.042609Z

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Observation 43850c23-a359-4ab2-bfb9-7ab9cbaba5a9 · outbound

This paper cites Billion-scale fintech analytics: Scalable data management and anomaly detection at npci,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Billion-scale fintech analytics: Scalable data management and anomaly detection at npci,

Reference 5

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Observation cfd583dc-45a2-4b98-bfa2-9e3ddcb225be · outbound

This paper cites Eta prediction with graph neural networks in google maps,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Eta prediction with graph neural networks in google maps,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.058945Z

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Observation 63b313c8-28ab-4879-90c8-38975379085e · outbound

This paper cites Scaling real-time traffic analytics on edge- cloud fabrics for city-scale camera networks,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Scaling real-time traffic analytics on edge- cloud fabrics for city-scale camera networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.066859Z

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Observation 6732f590-11ba-4c66-a2f1-139f06cc9b56 · outbound

This paper cites Aligraph: A comprehensive graph neural network platform,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Aligraph: A comprehensive graph neural network platform,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.072639Z

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Observation 92cdcd37-3cca-44f6-b399-705cdd15d65f · outbound

This paper cites Inkstream: Instantaneous gnn inference on dynamic graphs via incremental update,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Inkstream: Instantaneous gnn inference on dynamic graphs via incremental update,

Reference 9

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Observation 78324667-52bf-4087-ba3d-0af6fee4ac82 · outbound

This paper cites Ripple: Scalable incremental gnn inferencing on large streaming graphs,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Ripple: Scalable incremental gnn inferencing on large streaming graphs,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.091064Z

Source-reported events for the cited work

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Observation 1d87642d-80e3-4e69-8ac3-7a19902eda8a · outbound

This paper cites Igb: Ad- dressing the gaps in labeling, features, heterogeneity, and size of public graph datasets for deep learning research,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Igb: Ad- dressing the gaps in labeling, features, heterogeneity, and size of public graph datasets for deep learning research,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.097417Z

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Observation e05fff3e-544b-45f3-a6c8-2544b0f149ba · outbound

This paper cites Communication-efficient graph neural networks with probabilistic neighborhood expan- sionanalysisandcaching,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Communication-efficient graph neural networks with probabilistic neighborhood expan- sionanalysisandcaching,

Reference 12

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Observation c90b32a5-6f52-4457-b287-78f96d8ed52b · outbound

This paper cites Deal: Distributed End-to-End GNN Inference for All Nodes.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Deal: Distributed End-to-End GNN Inference for All Nodes

Reference 13

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Observation 4c32ba45-cf0f-4fd0-a3a4-a1c6d9ec94f1 · outbound

This paper cites Diskgnn: Bridging i/o efficiency and model accuracy for out-of-core gnn training,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Diskgnn: Bridging i/o efficiency and model accuracy for out-of-core gnn training,

Reference 14

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Source-reported events for the cited work

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Observation 693f0fd7-9dad-4e78-9e40-fd0f75db0b7a · outbound

This paper cites Caliex: A disk-based large-scale gnn training system with joint design of caching and execution,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Caliex: A disk-based large-scale gnn training system with joint design of caching and execution,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.130776Z

Source-reported events for the cited work

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Observation 834e378b-b040-45c4-b99f-3d666dfa1bcb · outbound

This paper cites Capsule: an out-of-core training mechanism for colossal gnns,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Capsule: an out-of-core training mechanism for colossal gnns,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.138539Z

Source-reported events for the cited work

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Observation 852e8d7a-a351-4452-8230-ef317073e4e6 · outbound

This paper cites Outre: An out-of-core de-redundancy gnn training framework for massive graphs within a single machine,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Outre: An out-of-core de-redundancy gnn training framework for massive graphs within a single machine,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.144955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f89d1c2-8759-4440-93cf-ec3cbe07d351 · outbound

This paper cites Ginex: Ssd-enabled billion-scale graph neural network training on a single machine via provably optimal in-memory caching,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Ginex: Ssd-enabled billion-scale graph neural network training on a single machine via provably optimal in-memory caching,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.151960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb6de74-a7d2-4371-b175-789635a56d4e · outbound

This paper cites Lumos: Dependency-driven disk-based graph processing,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Lumos: Dependency-driven disk-based graph processing,

Reference 19

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Observation 1757f3e2-a966-4d39-9044-685953e90bc6 · outbound

This paper cites X-stream: Edge-centric graph processing us- ing streaming partitions,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs X-stream: Edge-centric graph processing us- ing streaming partitions,

Reference 20

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Observation b309d175-fe50-491e-ac1c-1c36ad39d798 · outbound

This paper cites Hy- perion: Co-optimizing ssd access and gpu computation for cost-efficient gnn training,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Hy- perion: Co-optimizing ssd access and gpu computation for cost-efficient gnn training,

Reference 21

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Source-reported events for the cited work

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Observation dfba293c-34b6-46c2-b272-fdaee7d09d45 · outbound

This paper cites Accelerating sampling and aggregation operations in gnn frameworks with gpu initiated direct storage accesses,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Accelerating sampling and aggregation operations in gnn frameworks with gpu initiated direct storage accesses,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.188952Z

Source-reported events for the cited work

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Observation 4761e873-cc0f-48df-87b4-cbfc6fb46ff2 · outbound

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

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Open graph benchmark: Datasets for machine learning on graphs,

Reference 23

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Source-reported events for the cited work

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Observation 66f392ef-36ba-45e4-a36e-04c842ce156d · outbound

This paper cites Inferturbo: A scalable system for boosting full-graph inference of graph neural network overhugegraphs,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Inferturbo: A scalable system for boosting full-graph inference of graph neural network overhugegraphs,

Reference 24

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Observation 89a46634-1e49-4471-9a96-efc84b455092 · outbound

This paper cites Accelerating training and inference of graph neural networks with fast sampling and pipelining,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Accelerating training and inference of graph neural networks with fast sampling and pipelining,

Reference 25

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Observation 04989c0e-a5e7-4c2c-bfaa-4b30d2b2a589 · outbound

This paper cites A gpu is all you need: Rethinking distributed and out-of- core gnn training,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs A gpu is all you need: Rethinking distributed and out-of- core gnn training,

Reference 26

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Observation a1e73449-32d6-49c0-93a0-cea01d51b60e · outbound

This paper cites Deep graph library: Towards efficient and scalable deep learning on graphs,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Deep graph library: Towards efficient and scalable deep learning on graphs,

Reference 27

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Observation 690da100-5b86-4b42-9b31-392d1f1a7cac · outbound

This paper cites Dgi: An easy and efficient framework for gnn model evaluation,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Dgi: An easy and efficient framework for gnn model evaluation,

Reference 28

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Source-reported events for the cited work

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Observation 604effb0-27bd-476c-95c6-8f237409fd21 · outbound

This paper cites How powerful are graph neural networks?.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs How powerful are graph neural networks?

Reference 29

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Observation 9860d7b9-2237-4ce6-ab6e-b509285b3b9c · outbound

This paper cites Graph Attention Networks,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Graph Attention Networks,

Reference 30

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This paper cites A linear time implementation of the reverse cuthill-mckee algorithm,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs A linear time implementation of the reverse cuthill-mckee algorithm,

Reference 31

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This paper cites Stanford network analysis project,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Stanford network analysis project,

Reference 32

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

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Graph convolutional neural networks for web-scale recommender systems,

Reference 33

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Observation 4b0b8823-f619-4dc9-be34-2a1a34f8c5b9 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 34

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Observation 66236538-d182-4971-939d-3ebcb2d505bd · outbound

This paper cites Redundancy-free high- performance dynamic gnn training with hierarchical pipeline parallelism,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Redundancy-free high- performance dynamic gnn training with hierarchical pipeline parallelism,

Reference 35

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

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs P3: Distributed deep graph learning at scale,

Reference 36

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Observation c2f03bd0-b6c8-4125-882e-895081692200 · outbound

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

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Distdgl: Distributed graph neural network training for billion-scale graphs,

Reference 37

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Observation 9735e147-2615-44f2-ad33-de6460977372 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Fast Graph Representation Learning with PyTorch Geometric

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T18:18:15.307961Z

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This paper cites Mariusgnn: Resource- efficient out-of-core training of graph neural networks,.

Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs Mariusgnn: Resource- efficient out-of-core training of graph neural networks,

Reference 39

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Pith citing papers

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