Graph Classification on D&D

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Accuracy

Rank	Model	Accuracy	Extra Training Data	Paper	Code	Year
1	U2GNN (Unsupervised)	95.67%		Universal Graph Transformer Self-Attention Networks	daiquocnguyen/Graph-Transformer	2019
2	MEWISPool	84.33%		Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks	mewispool/mewispool	2021
3	ESA (Edge set attention, no positional encodings)	83.529±1.743		An end-to-end attention-based approach for learning on graphs	davidbuterez/edge-set-attention	2024
4	DDGK	83.14%		DDGK: Learning Graph Representations for Deep Divergence Graph Kernels	google-research/google-research	2019
5	Graph U-Nets	82.43%		Graph U-Nets	HongyangGao/gunet · HongyangGao/Graph-U-Nets · hujilin1229/gUNet	2019
6	DUGNN	82.40%	✓	Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning	vermaMachineLearning/Universal-Graph-Embedding-Neural-Network	2019
7	S2V (with 2 DiffPool)	82.07%		Hierarchical Graph Representation Learning with Differentiable Pooling	dmlc/dgl · RexYing/diffpool · RexYing/graph-pooling · +11	2018
8	WKPI-kmeans	82.0%		Learning metrics for persistence-based summaries and applications for graph classification	topology474/WKPI	2019
9	hGANet	81.71%	✓	Graph Representation Learning via Hard and Channel-Wise Attention Networks	dmlc/dgl	2019
10	HGP-SL	80.96%		Hierarchical Graph Pooling with Structure Learning	dmlc/dgl · cszhangzhen/HGP-SL · gsl-benchmark/gslb	2019
11	SEAL-SAGE	80.88%		Semi-Supervised Graph Classification: A Hierarchical Graph Perspective	benedekrozemberczki/SEAL-CI	2019
12	GNN (DiffPool)	80.64%		Hierarchical Graph Representation Learning with Differentiable Pooling	dmlc/dgl · RexYing/diffpool · RexYing/graph-pooling · +11	2018
13	NERO	80.45%		Relation order histograms as a network embedding tool	Prpht/NERO	2021
14	U2GNN	80.23%		Universal Graph Transformer Self-Attention Networks	daiquocnguyen/Graph-Transformer	2019
15	MAGPool	79.83%		Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective	p-haddadian/MAGPool	2024
16	WWL	79.69%		Wasserstein Weisfeiler-Lehman Graph Kernels	BorgwardtLab/WWL · wenbintum/wwl-gpr	2019
17	GraphStar	79.60%		Graph Star Net for Generalized Multi-Task Learning	graph-star-team/graph_star	2019
18	DGCNN	79.37%		An End-to-End Deep Learning Architecture for Graph Classification	muhanzhang/DGCNN · Ki-Seki/DGCNN-updated	2018
19	PNA	78.992±4.407		Principal Neighbourhood Aggregation for Graph Nets	rusty1s/pytorch_geometric · dmlc/dgl · lukecavabarrett/pna · +5	2020
20	Propagation kernels (pk)	78.8%		Propagation kernels: efficient graph kernels from propagated information	marionmari/propagation_kernels	2019