Open Graph Benchmark

A collection of large-scale, realistic graph datasets with a standardized evaluation for graph machine learning.

Papers using Open Graph Benchmark (11)

Enhancing Imbalanced Node Classification via Curriculum-Guided Feature Learning and Three-Stage Attention Network2026Cross-View Topology-Aware Graph Representation Learning2025Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias2023 · 2 citesMulti-hop Attention Graph Neural Network2020 · 35 citesLocal Augmentation for Graph Neural Networks2021 · 19 citesMGAE: Masked Autoencoders for Self-Supervised Learning on Graphs2022 · 17 citesHeuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction2024 · 11 citesGraph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling2023 · 7 citesCareful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes2023Graph Sparsification via Mixture of Graphs2024MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs2024