PCQM4Mv2

The PCQM4Mv2 dataset is a benchmark used to evaluate the performance of graph neural networks on molecular property prediction tasks.

Papers using PCQM4Mv2 (8)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings2025GraphGPT: Generative Pre-trained Graph Eulerian Transformer2024 · 1 citesPure Transformers are Powerful Graph Learners2022 · 57 citesMolecular Hypergraph Neural Networks2023 · 3 citesTriplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers2024 · 3 citesAn ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 20222022 · 2 citesGPS++: Reviving the Art of Message Passing for Molecular Property Prediction2023 · 2 citesAligning Transformers with Weisfeiler-Leman2024