NodeGround: A Node Classification Benchmark in the Graph Foundation Model Era

arXiv:2609.39673 · cs.LG · Submitted 2026-09-30 · Read on arXiv

cs.LG

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/nums-ai/nodeground

Terminology

• Benchmark — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes

Sources

• Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
• How Attentive are Graph Attention Networks?
• NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
• Adaptive Universal Generalized PageRank Graph Neural Network
• Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors
• Turning Tabular Foundation Models into Graph Foundation Models
• GraphPFN: A Prior-Data Fitted Graph Foundation Model
• A Fair Comparison of Graph Neural Networks for Graph Classification
• Fast Graph Representation Learning with PyTorch Geometric
• Predict then Propagate: Graph Neural Networks meet Personalized PageRank
• Semi-Supervised Classification with Graph Convolutional Networks
• View Space: Learning Representation across Arbitrary Graphs
• Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
• Transformers Can Do Bayesian Inference
• Geom-GCN: Geometric Graph Convolutional Networks
• A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
• A Fair Evaluation of Graph Foundation Models for Node Property Prediction
• Pitfalls of Graph Neural Network Evaluation
• Graph Attention Networks
• Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

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