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Graph Classification
Graph Classification On Reddit B
Graph Classification On Reddit B
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
Repository
CRaWl
93.15
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing
WEGL
92
Wasserstein Embedding for Graph Learning
δ-2-LWL
89.0
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
GAT-GC (f-Scaled)
92.57
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
NDP
84.3
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
Graph-JEPA
56.73
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
GIN-0
92.4
How Powerful are Graph Neural Networks?
ApproxRepSet
80.3
Rep the Set: Neural Networks for Learning Set Representations
2-WL-GNN
89.4
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
GraphSAGE
84.3
A Fair Comparison of Graph Neural Networks for Graph Classification
DiffPool
92.1
Fast Graph Representation Learning with PyTorch Geometric
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