PPI

Overview edit

Variants: PPI

Associated Benchmarks

This dataset is used in 2 benchmarks:

• Link Prediction - Metrics: AP, AUC, Accuracy
• Node Classification - Metrics: F1, Micro-F1, Micro F1, Macro-F1

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• The Split Matters: Flat Minima Methods for Improving the Performance of GNNs (2023) -
• Graph Representation Learning Beyond Node and Homophily (2022) -
• VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization (2021) -
• Simple and Deep Graph Convolutional Networks (2020) -
• Deep Graph Contrastive Representation Learning (2020) -
• SIGN: Scalable Inception Graph Neural Networks (2020) -
• Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks (2020) -
• SGAS: Sequential Greedy Architecture Search (2019) -
• Hyperbolic Graph Convolutional Neural Networks (2019) -
• DeepGCNs: Making GCNs Go as Deep as CNNs (2019) -
• GraphSAINT: Graph Sampling Based Inductive Learning Method (2019) -
• Graph Star Net for Generalized Multi-Task Learning (2019) -
• Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks (2019) -
• GraphNAS: Graph Neural Architecture Search with Reinforcement Learning (2019) -
• Large-Scale Learnable Graph Convolutional Networks (2018) -
• Representation Learning on Graphs with Jumping Knowledge Networks (2018) -
• GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs (2018) -
• Graph Attention Networks (2017) -
• Inductive Representation Learning on Large Graphs (2017) -
• node2vec: Scalable Feature Learning for Networks (2016) -