ENZYMES

Overview edit

Variants: ENZYMES

Associated Benchmarks

This dataset is used in 1 benchmark:

• 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) -
• An end-to-end attention-based approach for learning on graphs (2024) -
• Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns (2023) -
• Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity (2023) -
• Strengthening structural baselines for graph classification using Local Topological Profile (2023) -
• TREE-G: Decision Trees Contesting Graph Neural Networks (2022) -
• Template based Graph Neural Network with Optimal Transport Distances (2022) -
• Recipe for a General, Powerful, Scalable Graph Transformer (2022) -
• A New Perspective on the Effects of Spectrum in Graph Neural Networks (2021) -
• DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (2021) -
• Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks (2021) -
• How Attentive are Graph Attention Networks? (2021) -
• Online Graph Dictionary Learning (2021) -
• Wasserstein Embedding for Graph Learning (2020) -
• Principal Neighbourhood Aggregation for Graph Nets (2020) -
• Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks (2020) -
• A Fair Comparison of Graph Neural Networks for Graph Classification (2019) -
• Hierarchical Graph Pooling with Structure Learning (2019) -
• Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling (2019) -
• Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning (2019) -