OpenCodePapers

graph-classification-on-reddit-b

ClassificationGraph Classification
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PaperCodeAccuracyAccuracy (10-fold)ModelNameReleaseDate
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing✓ Link93.15CRaWl2021-02-17
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation✓ Link92.57GAT-GC (f-Scaled)2019-07-04
How Powerful are Graph Neural Networks?✓ Link92.4GIN-02018-10-01
Fast Graph Representation Learning with PyTorch Geometric✓ Link92.1DiffPool2019-03-06
Wasserstein Embedding for Graph Learning✓ Link92WEGL2020-06-16
Strengthening structural baselines for graph classification using Local Topological Profile✓ Link91.1 ± 1.091.1 ± 1.0Local Topological Profile (LTP)2023-05-01
A Novel Higher-order Weisfeiler-Lehman Graph Convolution✓ Link89.42-WL-GNN2020-07-01
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings✓ Link89.0δ-2-LWL2019-04-02
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling✓ Link84.3NDP2019-10-24
A Fair Comparison of Graph Neural Networks for Graph Classification✓ Link84.3GraphSAGE2019-12-20
Rep the Set: Neural Networks for Learning Set Representations✓ Link80.3ApproxRepSet2019-04-03
Graph-level Representation Learning with Joint-Embedding Predictive Architectures✓ Link56.73Graph-JEPA2023-09-27
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