COLLAB

Overview edit

Variants: COLLAB

Associated Benchmarks

This dataset is used in 2 benchmarks:

• Link Prediction - Metrics: Hits
• Graph Classification - Metrics: Accuracy, Accuracy (10-fold)

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• PANDA: Expanded Width-Aware Message Passing Beyond Rewiring (2024) -
• Strengthening structural baselines for graph classification using Local Topological Profile (2023) -
• DiffWire: Inductive Graph Rewiring via the Lovász Bound (2022) -
• Template based Graph Neural Network with Optimal Transport Distances (2022) -
• GraphMAE: Self-Supervised Masked Graph Autoencoders (2022) -
• Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks (2021) -
• Accurate Learning of Graph Representations with Graph Multiset Pooling (2021) -
• Factorizable Graph Convolutional Networks (2020) -
• Wasserstein Embedding for Graph Learning (2020) -
• Benchmarking Graph Neural Networks (2020) -
• Segmented Graph-Bert for Graph Instance Modeling (2020) -
• A Fair Comparison of Graph Neural Networks for Graph Classification (2019) -
• Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling (2019) -
• Universal Graph Transformer Self-Attention Networks (2019) -
• Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning (2019) -
• A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks (2019) -
• Graph Representation Learning via Hard and Channel-Wise Attention Networks (2019) -
• Provably Powerful Graph Networks (2019) -
• Mutual Information Maximization in Graph Neural Networks (2019) -
• Graph U-Nets (2019) -