Graph Classification

Graph Classification is a task that involves classifying a graph-structured data into different classes or categories. Graphs are a powerful way to represent relationships and interactions between different entities, and graph classification can be applied to a wide range of applications, such as social network analysis, bioinformatics, and recommendation systems. In graph classification, the input is a graph, and the goal is to learn a classifier that can accurately predict the class of the graph.

( Image credit: Hierarchical Graph Pooling with Structure Learning )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–125 of 927 papers

Title	Date	Tasks	Status	Hype
Graph Homomorphism Convolution	May 3, 2020	General ClassificationGraph Classification	CodeCode Available	1
Graph Inductive Biases in Transformers without Message Passing	May 27, 2023	Graph ClassificationGraph Regression	CodeCode Available	1
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks	Mar 26, 2020	Graph ClassificationGraph Learning	CodeCode Available	1
Contrastive Multi-View Representation Learning on Graphs	Jun 10, 2020	General ClassificationGraph Classification	CodeCode Available	1
Graph-level Representation Learning with Joint-Embedding Predictive Architectures	Sep 27, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Factorizable Graph Convolutional Networks	Oct 12, 2020	Graph ClassificationGraph Regression	CodeCode Available	1
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems	Aug 28, 2023	Collaborative FilteringGraph Classification	CodeCode Available	1
Convergent Graph Solvers	Jun 3, 2021	Graph ClassificationGraph Neural Network	CodeCode Available	1
Approximate Network Motif Mining Via Graph Learning	Jun 2, 2022	BIG-bench Machine LearningGraph Classification	CodeCode Available	1
DRew: Dynamically Rewired Message Passing with Delay	May 13, 2023	Graph ClassificationGraph Regression	CodeCode Available	1
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification	Mar 22, 2021	Continual LearningGeneral Classification	CodeCode Available	1
A Fair Comparison of Graph Neural Networks for Graph Classification	Dec 20, 2019	General ClassificationGraph Classification	CodeCode Available	1
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data	Jul 5, 2021	AttributeDrug Discovery	CodeCode Available	1
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks	Nov 11, 2021	Graph ClassificationGraph Regression	CodeCode Available	1
A Generalization of ViT/MLP-Mixer to Graphs	Dec 27, 2022	Graph ClassificationGraph Regression	CodeCode Available	1
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks	Dec 1, 2020	General ClassificationGraph Classification	CodeCode Available	1
Multilevel Graph Matching Networks for Deep Graph Similarity Learning	Jul 8, 2020	Graph ClassificationGraph Matching	CodeCode Available	1
Hierarchical Graph Pooling with Structure Learning	Nov 14, 2019	Graph ClassificationGraph Neural Network	CodeCode Available	1
Discovering Invariant Rationales for Graph Neural Networks	Jan 30, 2022	Graph Classification	CodeCode Available	1
Agent-based Graph Neural Networks	Jun 22, 2022	Graph ClassificationGraph Neural Network	CodeCode Available	1
CIN++: Enhancing Topological Message Passing	Jun 6, 2023	Graph ClassificationGraph Regression	CodeCode Available	1
CKGConv: General Graph Convolution with Continuous Kernels	Apr 21, 2024	Graph ClassificationGraph Learning	CodeCode Available	1
Causal Attention for Interpretable and Generalizable Graph Classification	Dec 30, 2021	ClassificationGraph Attention	CodeCode Available	1
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications	Oct 17, 2021	Graph ClassificationInference Attack	CodeCode Available	1
Differentially Private Graph Classification with GNNs	Feb 5, 2022	BIG-bench Machine LearningClassification	CodeCode Available	1

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All datasets PROTEINS MUTAG NCI1 D&D ENZYMES IMDb-B COLLAB PTC IMDb-M NCI109 CIFAR10 100k REDDIT-B

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	GIN-0	Accuracy	762	—	Unverified
2	HGP-SL	Accuracy	84.91	—	Unverified
3	rLap (unsupervised)	Accuracy	84.3	—	Unverified
4	TFGW ADJ (L=2)	Accuracy	82.9	—	Unverified
5	FIT-GNN	Accuracy	82.1	—	Unverified
6	DUGNN	Accuracy	81.7	—	Unverified
7	MEWISPool	Accuracy	80.71	—	Unverified
8	CIN++	Accuracy	80.5	—	Unverified
9	MAGPool	Accuracy	80.36	—	Unverified
10	SAEPool	Accuracy	80.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Evolution of Graph Classifiers	Accuracy	100	—	Unverified
2	MEWISPool	Accuracy	96.66	—	Unverified
3	TFGW ADJ (L=2)	Accuracy	96.4	—	Unverified
4	GIUNet	Accuracy	95.7	—	Unverified
5	G_Inception	Accuracy	95	—	Unverified
6	GIC	Accuracy	94.44	—	Unverified
7	CIN++	Accuracy	94.4	—	Unverified
8	sGIN	Accuracy	94.14	—	Unverified
9	CAN	Accuracy	94.1	—	Unverified
10	Deep WL SGN(0,1,2)	Accuracy	93.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TFGW ADJ (L=2)	Accuracy	88.1	—	Unverified
2	WKPI-kmeans	Accuracy	87.2	—	Unverified
3	FGW wl h=4 sp	Accuracy	86.42	—	Unverified
4	WL-OA Kernel	Accuracy	86.1	—	Unverified
5	WL-OA	Accuracy	86.1	—	Unverified
6	FGW wl h=2 sp	Accuracy	85.82	—	Unverified
7	WWL	Accuracy	85.75	—	Unverified
8	DUGNN	Accuracy	85.5	—	Unverified
9	δ-2-LWL	Accuracy	85.5	—	Unverified
10	CIN++	Accuracy	85.3	—	Unverified