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 26–50 of 927 papers

Title	Date	Tasks	Status	Hype
Differentially Private Graph Classification with GNNs	Feb 5, 2022	BIG-bench Machine LearningClassification	CodeCode Available	1
A Fair Comparison of Graph Neural Networks for Graph Classification	Dec 20, 2019	General ClassificationGraph Classification	CodeCode Available	1
A Generalization of ViT/MLP-Mixer to Graphs	Dec 27, 2022	Graph ClassificationGraph Regression	CodeCode Available	1
Agent-based Graph Neural Networks	Jun 22, 2022	Graph ClassificationGraph Neural Network	CodeCode Available	1
Detecting Beneficial Feature Interactions for Recommender Systems	Aug 2, 2020	Graph ClassificationGraph Neural Network	CodeCode Available	1
DiffWire: Inductive Graph Rewiring via the Lovász Bound	Jun 15, 2022	Graph ClassificationNode Classification	CodeCode Available	1
Causal Attention for Interpretable and Generalizable Graph Classification	Dec 30, 2021	ClassificationGraph Attention	CodeCode Available	1
COPT: Coordinated Optimal Transport for Graph Sketching	Mar 9, 2020	Graph Classification	CodeCode Available	1
Deep Graph Mapper: Seeing Graphs through the Neural Lens	Feb 10, 2020	Graph ClassificationGraph Representation Learning	CodeCode Available	1
Directional Graph Networks	Oct 6, 2020	Data AugmentationGraph Classification	CodeCode Available	1
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks	Nov 11, 2021	Graph ClassificationGraph Regression	CodeCode Available	1
Composition-based Multi-Relational Graph Convolutional Networks	Nov 8, 2019	General ClassificationGraph Classification	CodeCode Available	1
Total Variation Graph Neural Networks	Nov 11, 2022	ClusteringGraph Classification	CodeCode Available	1
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation	May 24, 2022	Graph ClassificationKnowledge Distillation	CodeCode Available	1
An Empirical Study of Graph Contrastive Learning	Sep 2, 2021	Graph ClassificationManagement	CodeCode Available	1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs	Mar 10, 2020	BIG-bench Machine LearningClustering	CodeCode Available	1
Accurate Learning of Graph Representations with Graph Multiset Pooling	Feb 23, 2021	Graph ClassificationGraph Clustering	CodeCode Available	1
Adversarial Attacks on Graph Classification via Bayesian Optimisation	Nov 4, 2021	Adversarial RobustnessBayesian Optimisation	CodeCode Available	1
CKGConv: General Graph Convolution with Continuous Kernels	Apr 21, 2024	Graph ClassificationGraph Learning	CodeCode Available	1
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation	Dec 1, 2021	Adversarial RobustnessBayesian Optimisation	CodeCode Available	1
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks	Dec 1, 2020	General ClassificationGraph Classification	CodeCode Available	1
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift	Nov 5, 2022	Data AugmentationGraph Classification	CodeCode Available	1
Convolutional Kernel Networks for Graph-Structured Data	Mar 11, 2020	Graph Classification	CodeCode Available	1
Anonymous Walk Embeddings	May 30, 2018	General ClassificationGraph Classification	CodeCode Available	1
Adversarial Attack on Community Detection by Hiding Individuals	Jan 22, 2020	Adversarial AttackCommunity Detection	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	δ-2-LWL	Accuracy	85.5	—	Unverified
9	DUGNN	Accuracy	85.5	—	Unverified
10	CIN++	Accuracy	85.3	—	Unverified