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Paper Citation Record · LEDGER

Graph Neural Networks: A Review of Methods and Applications

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:1812.08434.

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

pith.paper-citation-record.v1
1812.08434 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:09.612842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:43:55.172073Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c78b8ea0-78c9-44ce-970d-43058a3a2b00 · inbound

Fast Training of Sparse Graph Neural Networks on Dense Hardware cites this paper.

Fast Training of Sparse Graph Neural Networks on Dense Hardware Graph Neural Networks: A Review of Methods and Applications

Reference 8

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arxiv_id, observed 2026-05-25T14:20:55.384249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T14:19:33.774814Z digest=sha256:f140c00a61bf1ce885471e9fff60a81ec3670b45621a6317745db3b2bd7855fb

Observation 9e1e7d97-a564-4d18-be31-8fa1e9f5f549 · inbound

Graph Star Net for Generalized Multi-Task Learning cites this paper.

Graph Star Net for Generalized Multi-Task Learning Graph Neural Networks: A Review of Methods and Applications

Reference 30

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arxiv_id, observed 2026-05-25T18:56:08.937877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T18:54:30.043952Z digest=sha256:dac549f8f46f80993a05a150e0c115dd9e69873883e2be122db5b57ac36498fe

Observation b4c723b5-8cbe-48fb-9cde-b33f437d3ebb · inbound

Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation cites this paper.

Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation Graph Neural Networks: A Review of Methods and Applications

Reference 193

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source=pdf_text observed=2026-08-14T11:30:51.682713Z digest=sha256:b90b467cb92d20e931500ae2b1e5bbbf0fc4bdff7ddec744477c3560e6e6789d

Observation de224e51-0864-4f72-9eb3-ce773a7efbd9 · inbound

DWnet: Deep-Wide Network for 3D Action Recognition cites this paper.

DWnet: Deep-Wide Network for 3D Action Recognition Graph Neural Networks: A Review of Methods and Applications

Reference 32

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source=pdf_text observed=2026-08-14T10:32:10.174556Z digest=sha256:2c9e957828b3dc86b6c618a17c1ba2d96f001f41cc3b1f0b8f11836cae214c86

Observation 350577b5-2f02-4bd7-9465-0195c727e608 · inbound

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks cites this paper.

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

Reference 12

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source=pdf_text observed=2026-08-14T06:06:23.993964Z digest=sha256:df4ea595f45cbde0a4222749fe6407f345304b4d36d700c73733c8c2b246e9f2

Observation 104a46a0-8001-4909-830d-92ed7e8e8a04 · inbound

HiCoRe: Visual Hierarchical Context-Reasoning cites this paper.

HiCoRe: Visual Hierarchical Context-Reasoning Graph Neural Networks: A Review of Methods and Applications

Reference 40

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source=pdf_text observed=2026-08-14T05:39:02.605338Z digest=sha256:0c0d62e53ab6aa9882053cf15814baed4efec09ca6e0570acbbe9b734a20802a

Observation 1b9c20f8-1db7-4e9a-8294-6c0492d68086 · inbound

AHINE: Adaptive Heterogeneous Information Network Embedding cites this paper.

AHINE: Adaptive Heterogeneous Information Network Embedding Graph Neural Networks: A Review of Methods and Applications

Reference 30

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source=pdf_text observed=2026-08-14T12:28:11.264770Z digest=sha256:d998c2baaba62aca443119decbfb962bd885a7428f5c9c00d2ed7efe4259bb2e

Observation db59e24e-db13-48fc-8595-9f34d28c4e45 · inbound

Material characterization and precise finite element analysis of fiber reinforced thermoplastic composites for 4D printing cites this paper.

Material characterization and precise finite element analysis of fiber reinforced thermoplastic composites for 4D printing Graph Neural Networks: A Review of Methods and Applications

Reference 40

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no resolver link, observed 2026-08-14T05:06:14.285505Z

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source=pdf_text observed=2026-08-14T05:06:14.285505Z digest=sha256:70f6b182f3eb4b34c22bc73192f96afa154a3738ab51eca9202397c4fc08427b

Observation 4b7fedf4-a75d-4ac4-a092-d411b9b242ee · inbound

GmCN: Graph Mask Convolutional Network cites this paper.

GmCN: Graph Mask Convolutional Network Graph Neural Networks: A Review of Methods and Applications

Reference 24

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source=pdf_text observed=2026-08-14T05:20:39.715489Z digest=sha256:46f7f32f47b1b30119dfb689b6384facaeb0cca17350ae97277dba12ec96dcd7

Observation ff443e67-8dd7-4345-8c58-4c522798f482 · inbound

Context-Aware Graph Attention Networks cites this paper.

Context-Aware Graph Attention Networks Graph Neural Networks: A Review of Methods and Applications

Reference 24

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no resolver link, observed 2026-08-14T05:22:07.546202Z

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source=pdf_text observed=2026-08-14T05:22:07.546202Z digest=sha256:1fce68979a9707331c9cbd2ef57951f4fbbc99fd41883526e2b25369451c56b3

Observation e47858c2-1247-4668-915c-783146e1cf99 · inbound

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics cites this paper.

Swift: A Multi-FPGA Framework for Scaling Up Accelerated Graph Analytics Graph Neural Networks: A Review of Methods and Applications

Reference 5

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no resolver link, observed 2026-08-12T15:13:49.751345Z

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source=pdf_text observed=2026-08-12T15:13:49.751345Z digest=sha256:745c4a116999edebbf3c2814daf6f280f9e9787eebe2b48692a273df37a83303

Observation b5eadfa2-6f0f-4e7c-8c02-629bd47e3d10 · inbound

3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D generation cites this paper.

3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D generation Graph Neural Networks: A Review of Methods and Applications

Reference 68

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no resolver link, observed 2026-08-11T23:51:44.621379Z

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source=pdf_text observed=2026-08-11T23:51:44.621379Z digest=sha256:f53b57881fdb6534d7f3c0ae64f406ae8eedfb913f3ce7b39ae2f33e39d9cd38

Observation f2a77be5-b802-426c-aabb-19392c3116fa · inbound

RouteNet-Fermi: Network Modeling With GNN (Analysis And Re-implementation) cites this paper.

RouteNet-Fermi: Network Modeling With GNN (Analysis And Re-implementation) Graph Neural Networks: A Review of Methods and Applications

Reference 15

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source=pdf_text observed=2026-08-11T20:32:32.782459Z digest=sha256:7115189a680d8bebe59c95729dd8e7b2cb12a5264b569b401cc0b1a99165559c

Observation 132cdfe7-cd9c-4deb-a64e-e1962f0a9dd4 · inbound

A Novel Framework Using Deep Reinforcement Learning for Join Order Selection cites this paper.

A Novel Framework Using Deep Reinforcement Learning for Join Order Selection Graph Neural Networks: A Review of Methods and Applications

Reference 25

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Observation 6107d573-c21b-435b-a909-bc85e5844e64 · inbound

Tensor-Based Binary Graph Encoding for Variational Quantum Classifiers cites this paper.

Tensor-Based Binary Graph Encoding for Variational Quantum Classifiers Graph Neural Networks: A Review of Methods and Applications

Reference 2021

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no resolver link, observed 2026-08-10T15:19:45.571373Z

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source=pdf_text observed=2026-08-10T15:19:45.571373Z digest=sha256:3eb8f3ca1fe795e0095aeed57cd8e212739e332e0b5c62661d921545f2a05719

Observation 5619eed0-b9b6-4f1e-8218-a6b450123f1d · inbound

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling cites this paper.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Graph Neural Networks: A Review of Methods and Applications

Reference 38

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no resolver link, observed 2026-08-16T10:41:09.612842Z

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source=pdf_text observed=2026-08-16T10:41:09.612842Z digest=sha256:309599e7f0077e68a348bccd063ce97e2234ef04fd8e9a97080e15bd70fd2958

Observation c3a3b3ac-cdaa-480f-9cfb-f198041f46ee · inbound

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media cites this paper.

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Graph Neural Networks: A Review of Methods and Applications

Reference 37

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no resolver link, observed 2026-08-07T11:42:51.637901Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:51.637901Z digest=sha256:71776ca40a61e1121f1729feb633d708cc85631b3ff416d5e37cd7d27ff2276e

Observation e59084c8-0c62-47ff-9fd5-df5ec3df57d8 · inbound

DEF: Diffusion-augmented Ensemble Forecasting cites this paper.

DEF: Diffusion-augmented Ensemble Forecasting Graph Neural Networks: A Review of Methods and Applications

Reference 23

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source=pdf_text observed=2026-08-07T05:43:01.557679Z digest=sha256:7c4f8a60812db4750333646d1728a3392abeb2fd74c19dca7c32527289bb2095

Observation 40eb1d7b-0ecd-402e-a86b-9f5ef3913b63 · inbound

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems cites this paper.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Graph Neural Networks: A Review of Methods and Applications

Reference 9

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source=pdf_text observed=2026-08-06T11:55:51.043984Z digest=sha256:1aa040337e514d8e568bb337e54fb02f61c59494b204be751492d6835623d474

Observation 615397d0-2a82-4774-bcbf-51d0ead6c9a6 · inbound

Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework cites this paper.

Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework Graph Neural Networks: A Review of Methods and Applications

Reference 18

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source=pdf_text observed=2026-08-05T05:52:52.854064Z digest=sha256:bb575a12e1c7c0d426b957c0cd060d5282bee2678b79bb9fb134bd64c5c33d47

Observation 62256264-c9b1-4059-8eb6-1f49c1d7582b · inbound

Rethinking Query Optimization for Multi-Agent Systems [Vision] cites this paper.

Rethinking Query Optimization for Multi-Agent Systems [Vision] Graph Neural Networks: A Review of Methods and Applications

Reference 104

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no resolver link, observed 2026-08-03T17:21:35.369438Z

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source=arxiv_source observed=2026-08-03T17:21:35.369438Z digest=sha256:4bd901c45a2646945113315cb9dfc3df848a4c37126db1e8e9c313149611e578

Observation edaaf90f-9b38-4681-83ca-d9a924316f58 · inbound

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective cites this paper.

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective Graph Neural Networks: A Review of Methods and Applications

Reference 297

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arxiv_id, observed 2026-05-11T19:46:14.830296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T11:02:17.987425Z digest=sha256:086387721c2fdbbf52893de44c7dac4bfd4d47f5abac0e6defd8b97dfa8fef1f

Observation 3694cad6-29dc-45ab-b168-22cbfc31eaf6 · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Graph Neural Networks: A Review of Methods and Applications

Reference 232

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arxiv_id, observed 2026-05-11T16:46:06.754051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-09T15:09:03.417040Z digest=sha256:e6c0154b50b91551aedfef6979210ab6811f1e046f441e50320bd0ef8e432fc7

Observation 1e189d01-327c-4fad-aa15-6fb88be99c9c · inbound

The Montparnasse Algorithm for RNA Design cites this paper.

The Montparnasse Algorithm for RNA Design Graph Neural Networks: A Review of Methods and Applications

Reference 273

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arxiv_id, observed 2026-06-29T19:43:55.174161Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-29T19:34:04.075773Z digest=sha256:87481f18e78093e65012c3088c419fd49bfad71dada866df08bc0078761040da

Observation 1cb30b2e-4c1a-4d12-81e7-65f28b049207 · inbound

An Analysis of Architectural and Operational Dynamics of Phishkits in the Wild cites this paper.

An Analysis of Architectural and Operational Dynamics of Phishkits in the Wild Graph Neural Networks: A Review of Methods and Applications

Reference 33

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source=pdf_text observed=2026-08-10T04:29:04.289404Z digest=sha256:c9a890706b572b6bd93070db1899c4c636894c1ab98136170a4c39d8987666a9

Observation 6c17d55d-6924-4854-ab04-3c383c205680 · inbound

F2STNet: Fair and Federated Spectral-Temporal Modeling for Graph Forecasting cites this paper.

F2STNet: Fair and Federated Spectral-Temporal Modeling for Graph Forecasting Graph Neural Networks: A Review of Methods and Applications

Reference 42

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source=pdf_text observed=2026-08-11T23:58:56.733118Z digest=sha256:1ead9ee746db5f86d11f14a2a186c07fcc6ca40e95ddee07ea97f8d8f90f23e4