Open Graph Benchmark: Datasets for Machine Learning on Graphs | Paper Citation Record

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

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 8

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How Attentive are Graph Attention Networks? cites this paper.

How Attentive are Graph Attention Networks? Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 26

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Spectral Subspace Clustering for Attributed Graphs cites this paper.

Spectral Subspace Clustering for Attributed Graphs Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 36

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Instance-Aware Graph Prompt Learning cites this paper.

Instance-Aware Graph Prompt Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 18

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Revisiting the Necessity of Graph Learning and Common Graph Benchmarks cites this paper.

Revisiting the Necessity of Graph Learning and Common Graph Benchmarks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 16

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MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media cites this paper.

MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 40

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Graph-Guided Textual Explanation Generation Framework cites this paper.

Graph-Guided Textual Explanation Generation Framework Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 17

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Enhancing Persona Classification in Dialogue Systems: A Graph Neural Network Approach cites this paper.

Enhancing Persona Classification in Dialogue Systems: A Graph Neural Network Approach Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 10

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PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms cites this paper.

PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 37

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Is Peer-Reviewing Worth the Effort? cites this paper.

Is Peer-Reviewing Worth the Effort? Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 22

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks cites this paper.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 25

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MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators cites this paper.

MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 23

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ReInc: Scaling Training of Dynamic Graph Neural Networks cites this paper.

ReInc: Scaling Training of Dynamic Graph Neural Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 21

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On the Effectiveness of Random Weights in Graph Neural Networks cites this paper.

On the Effectiveness of Random Weights in Graph Neural Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 19

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Computing and Learning on Combinatorial Data cites this paper.

Computing and Learning on Combinatorial Data Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 259

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Effects of Dropout on Performance in Long-range Graph Learning Tasks cites this paper.

Effects of Dropout on Performance in Long-range Graph Learning Tasks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 40

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Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset cites this paper.

Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 38

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GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code cites this paper.

GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 21

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Fused3S: Fast Sparse Attention on Tensor Cores cites this paper.

Fused3S: Fast Sparse Attention on Tensor Cores Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 14

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GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics cites this paper.

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 18

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Observation 6d9d9eb2-86c2-45d4-8794-ace4e1fc0e07 · inbound

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning cites this paper.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 8

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Observation 08a8fcbe-ad34-41cc-9afd-ab6acb71cfa2 · inbound

ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels cites this paper.

ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 7

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Observation e5b61d6e-a1d7-4568-910c-10c06414de59 · inbound

The Oversmoothing Fallacy: A Misguided Narrative in GNN Research cites this paper.

The Oversmoothing Fallacy: A Misguided Narrative in GNN Research Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 15

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NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing cites this paper.

NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 18

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Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks cites this paper.

Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 35

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ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs cites this paper.

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 50

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SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion cites this paper.

SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 23

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Memorization in Graph Neural Networks cites this paper.

Memorization in Graph Neural Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 30

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Observation fc7841b2-f986-42a8-95b1-4837cde75461 · inbound

A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models cites this paper.

A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 2021

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Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning cites this paper.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 2020

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SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication cites this paper.

SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 18

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Plain Transformers are Surprisingly Powerful Link Predictors cites this paper.

Plain Transformers are Surprisingly Powerful Link Predictors Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 2024

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CTS-Bench: Benchmarking Graph Coarsening Trade-offs for GNNs in Clock Tree Synthesis cites this paper.

CTS-Bench: Benchmarking Graph Coarsening Trade-offs for GNNs in Clock Tree Synthesis Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 9

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Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training cites this paper.

Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 57

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TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks cites this paper.

TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 8

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Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3 cites this paper.

Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3 Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 15

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GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning cites this paper.

GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 7

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Observation 39d8451b-57d8-41a5-9ce2-6f22d192f1c9 · 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 Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 204

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H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction cites this paper.

H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 50

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Fast and Featureless Node Representation Learning with Partial Pairwise Supervision cites this paper.

Fast and Featureless Node Representation Learning with Partial Pairwise Supervision Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 33

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Observation 4e0b7c82-a3f9-4318-89d1-4fd4d284f189 · inbound

Efficient Higher-order Subgraph Attribution via Message Passing cites this paper.

Efficient Higher-order Subgraph Attribution via Message Passing Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 40

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Relevant Walk Search for Explaining Graph Neural Networks cites this paper.

Relevant Walk Search for Explaining Graph Neural Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 41

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Observation f9ee4208-18a2-4309-8809-9536a09232d8 · inbound

Learning Dynamic Stability Landscapes in Synchronization Networks cites this paper.

Learning Dynamic Stability Landscapes in Synchronization Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 295

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On Efficient Scaling of GNNs via IO-Aware Layers Implementations cites this paper.

On Efficient Scaling of GNNs via IO-Aware Layers Implementations Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 11

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Handling Feature Heterogeneity with Learnable Graph Patches cites this paper.

Handling Feature Heterogeneity with Learnable Graph Patches Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 17

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Observation 635dfa1c-7879-40b3-be02-91831e9c633d · inbound

DeXposure-Claw: An Agentic System for DeFi Risk Supervision cites this paper.

DeXposure-Claw: An Agentic System for DeFi Risk Supervision Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 63

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Observation 777c6378-e6a1-4b10-be41-53ac21aeaa8a · inbound

DeXposure-Claw: An Agentic System for DeFi Risk Supervision cites this paper.

DeXposure-Claw: An Agentic System for DeFi Risk Supervision Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:35:28.916229Z

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Observation 03b7b94a-8448-4059-b73d-989f97d78aca · inbound

Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces cites this paper.

Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:55:51.224765Z

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Observation 8a99fc3c-e001-4dd7-af92-1012b2789030 · inbound

T3R: Deeper Test-Time Adaptation for Graph Neural Networks via Gradient Rotation cites this paper.

T3R: Deeper Test-Time Adaptation for Graph Neural Networks via Gradient Rotation Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:34:21.948157Z

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Observation a8e80baa-2eae-4e1d-b89d-11e338f23aa8 · inbound

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation cites this paper.

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 25

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Observation d0ea85ae-5b2f-45b1-b1d9-fe8540d38f3b · inbound

One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models cites this paper.

One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 40

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Observation 5c86a81a-e22a-4a05-9b72-a1c0f9866722 · inbound

ParasGB: A Graph Benchmark Suite for Parasitic Estimation on AMS Circuits cites this paper.

ParasGB: A Graph Benchmark Suite for Parasitic Estimation on AMS Circuits Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 12

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Observation 9513f994-a1ae-471c-bfd8-1a8f39f75927 · inbound

MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning cites this paper.

MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-31T18:33:46.767206Z

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Observation 2373ea57-5968-4296-b834-8c67b20d19d7 · inbound

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model cites this paper.

THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T09:58:38.391913Z

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Observation b54ff34f-0946-423c-992a-f26465db395f · inbound

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction cites this paper.

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T20:00:45.962410Z

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Observation e50552a8-7fb1-4d63-8e36-34d76fe9582e · inbound

MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records cites this paper.

MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T04:32:43.144169Z

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Observation 7afafab2-8717-4c02-b136-b54fbed61bf7 · inbound

SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction cites this paper.

SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T04:30:57.364939Z

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Observation e501fdc0-2e80-483f-b4d5-5065e60f52e2 · inbound

LGNNIC: Acceleration of Large-Scale GNN Training using SmartNICs cites this paper.

LGNNIC: Acceleration of Large-Scale GNN Training using SmartNICs Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:24:53.863601Z

Source-reported events for the cited work

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Observation 2740b79f-1747-479e-816c-3182420fc23a · inbound

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks cites this paper.

Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-14T04:38:54.283876Z

Source-reported events for the cited work

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