Paper Citation Record · LEDGER

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1909.00155.

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

pith.paper-citation-record.v1
1909.00155 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T06:06:24.174284Z

measured 41 of 41 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 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

41 of 41 outbound references displayed

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unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a51f7f6-f4c7-4045-9a6a-771b2ca6b205 · outbound

This paper cites Imagenet classiﬁ- cation with deep convolutional neural networks,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Imagenet classiﬁ- cation with deep convolutional neural networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.296419Z

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 52fadbef-bb37-4ed4-aedd-666d59bae939 · outbound

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

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:23.916112Z

Source-reported events for the cited work

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Observation 70d787cc-29c2-4ab1-8061-2a7043ade6a2 · outbound

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

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:23.923956Z

Source-reported events for the cited work

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Observation 90a3f0bd-7955-443b-a096-c43619fae0c9 · outbound

This paper cites Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:23.932024Z

Source-reported events for the cited work

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Observation 263d2e30-0a0c-41f7-89de-4953275c2ebc · outbound

This paper cites AliGraph: A Comprehensive Graph Neural Network Platform.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks AliGraph: A Comprehensive Graph Neural Network Platform

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3670fad-4df8-4be5-ab5a-00b52df106cb · outbound

This paper cites Euler: A distributed graph deep learning framework.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Euler: A distributed graph deep learning framework

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.268728Z

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 5edffa9f-1767-4a22-a5ef-aae0350df20a · outbound

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

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:23.960869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118406d5-e764-4002-8f15-c9e41c6936c0 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Fast Graph Representation Learning with PyTorch Geometric

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:23.968305Z

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Observation 94e2f485-afa5-44f9-9ca3-f9d69aa096d9 · outbound

This paper cites Neugraph: Parallel deep neural network computation on large graphs,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Neugraph: Parallel deep neural network computation on large graphs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.243361Z

Source-reported events for the cited work

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Observation 0302dd2d-bd7a-4dcb-9b74-46740cee2ad9 · outbound

This paper cites Graph structure in the web,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Graph structure in the web,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.223901Z

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 eee78c6e-16e1-4fdd-8194-9d75be325ef5 · outbound

This paper cites Collective classiﬁcation in network data,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Collective classiﬁcation in network data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.205370Z

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 350577b5-2f02-4bd7-9465-0195c727e608 · outbound

This paper cites Graph Neural Networks: A Review of Methods and Applications.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Graph Neural Networks: A Review of Methods and Applications

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:23.993964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ce2dc69-9a6f-4421-ac14-4da56083eeb8 · outbound

This paper cites A Comprehensive Survey on Graph Neural Networks.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks A Comprehensive Survey on Graph Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:23.999551Z

Source-reported events for the cited work

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Observation ad4ce0d6-0b9a-4e39-be53-4972a3678ed3 · outbound

This paper cites Neural Message Passing for Quantum Chemistry.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Neural Message Passing for Quantum Chemistry

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:24.006421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13c088d2-2a15-4957-aa39-c96d894e5efe · outbound

This paper cites Inductive Representation Learning on Large Graphs.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Inductive Representation Learning on Large Graphs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:24.012683Z

Source-reported events for the cited work

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Observation 128cc391-60c7-4ca1-97c9-1985c6253fd5 · outbound

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

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Modeling relational data with graph convolutional networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.183292Z

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 2149f482-04f9-4269-98a5-db2c367a31ad · outbound

This paper cites Language Modeling with Gated Convolutional Networks.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Language Modeling with Gated Convolutional Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:24.025151Z

Source-reported events for the cited work

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Observation 690205f5-31af-4cb4-bf52-c04916053cb1 · outbound

This paper cites Recent Advances in Recurrent Neural Networks.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Recent Advances in Recurrent Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:24.030919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf868e25-00ef-4541-bc36-203d5a5365c8 · outbound

This paper cites Gated Graph Sequence Neural Networks.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Gated Graph Sequence Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:24.037962Z

Source-reported events for the cited work

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Observation f8978060-c02e-452d-bf0a-1f1c905a6b0f · outbound

This paper cites Accelerating graph analytics on cpu-fpga heterogeneous platform,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Accelerating graph analytics on cpu-fpga heterogeneous platform,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.157387Z

Source-reported events for the cited work

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Observation ab804e4c-52ed-4e72-b37e-8b896586bc54 · outbound

This paper cites Poster: Domain-specialized cache management for graph analytics,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Poster: Domain-specialized cache management for graph analytics,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.136533Z

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 9de6be86-e53b-4690-9011-307755403b32 · outbound

This paper cites HyGCN: A GCN Accelerator with Hybrid Architecture.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks HyGCN: A GCN Accelerator with Hybrid Architecture

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-14T06:06:24.347216Z

Source-reported events for the cited work

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Observation a7d8a6e1-89dd-4300-a42d-390374d46aab · outbound

This paper cites Characterizing and understanding gcns on gpu,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Characterizing and understanding gcns on gpu,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.115444Z

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 97e986da-bc4c-4f66-adcd-8899ba9c6d44 · outbound

This paper cites Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-14T06:06:24.315910Z

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 79b570fa-6371-46ef-b512-0936deae3991 · outbound

This paper cites Gridgraph: Large-scale graph processing on a single machine using 2-level hierarchical parti- tioning,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Gridgraph: Large-scale graph processing on a single machine using 2-level hierarchical parti- tioning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.091663Z

Source-reported events for the cited work

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Observation b7712cd6-5191-4c7e-bb4c-c162aac857bf · outbound

This paper cites Toward an architecture for never-ending language learning,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Toward an architecture for never-ending language learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.048727Z

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 babef922-fc4e-4491-be01-6da8d5f1647d · outbound

This paper cites Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking

Reference 27

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Observation 96ec5102-ee5d-4355-9eed-8db941006b0a · outbound

This paper cites R-mat: A recursive model for graph mining,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks R-mat: A recursive model for graph mining,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.028804Z

Source-reported events for the cited work

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Observation f01e4c79-a2bf-412c-86e7-3efd231f4f27 · outbound

This paper cites Ramulator: A fast and extensible dram simulator,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Ramulator: A fast and extensible dram simulator,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:25.006723Z

Source-reported events for the cited work

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Observation 041c2db9-f821-4667-a1ae-5cd923002673 · outbound

This paper cites Fine-grained dram: Energy-efﬁcient dram for extreme bandwidth systems,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Fine-grained dram: Energy-efﬁcient dram for extreme bandwidth systems,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.964766Z

Source-reported events for the cited work

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Observation b7a7f7a0-dde6-4829-b0ab-0c6050aae078 · outbound

This paper cites GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:24.116145Z

Source-reported events for the cited work

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Observation 6145adbe-7c9b-40da-acc7-067fe6181719 · outbound

This paper cites Pregel: A system for large-scale graph processing,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Pregel: A system for large-scale graph processing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.938571Z

Source-reported events for the cited work

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Observation eec22b3f-4e75-477f-a31c-c1205c78590d · outbound

This paper cites Numa-aware graph-structured analytics,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Numa-aware graph-structured analytics,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.899796Z

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 cf53419d-8c71-44cb-86ad-4d3852276e65 · outbound

This paper cites Powergraph: Distributed graph-parallel computation on natural graphs,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Powergraph: Distributed graph-parallel computation on natural graphs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.872527Z

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 d5239cc1-a1e3-4d20-b521-22e7c799ceb6 · outbound

This paper cites Gemini: A computation- centric distributed graph processing system,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Gemini: A computation- centric distributed graph processing system,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.849117Z

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 e1f8ba2c-27ac-4ced-bd42-fa7cb3929b63 · outbound

This paper cites Gram: Scaling graph computation to the trillions,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Gram: Scaling graph computation to the trillions,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.826485Z

Source-reported events for the cited work

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Observation 5b06a69d-46f2-4d60-9ca0-8dfb090b6db5 · outbound

This paper cites Efﬁcient processing of deep neural networks: A tutorial and survey,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Efﬁcient processing of deep neural networks: A tutorial and survey,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.802653Z

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 d962210f-246a-4b33-b9e6-45795ffe8688 · outbound

This paper cites Diannao: A small-footprint high-throughput accelerator for ubiq- uitous machine-learning,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Diannao: A small-footprint high-throughput accelerator for ubiq- uitous machine-learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.773396Z

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 6116abe5-4427-42d1-b6d8-5dc6c2632a5e · outbound

This paper cites EIE: Efficient Inference Engine on Compressed Deep Neural Network.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks EIE: Efficient Inference Engine on Compressed Deep Neural Network

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T06:06:24.162423Z

Source-reported events for the cited work

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Observation 012a2493-8f8c-4334-b6f6-4e82c82f6935 · outbound

This paper cites Graphicionado: A high-performance and energy-efﬁcient accel- erator for graph analytics,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Graphicionado: A high-performance and energy-efﬁcient accel- erator for graph analytics,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.748887Z

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 e9195f0c-3c30-471f-a5fd-e7664fdbbb92 · outbound

This paper cites Alleviating irregularity in graph analytics acceleration: A hardware/software co-design approach,.

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Alleviating irregularity in graph analytics acceleration: A hardware/software co-design approach,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:06:24.728576Z

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.

Pith citing papers

No inbound Pith citation observations are available.