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 51–75 of 927 papers

Title	Date	Tasks	Status	Hype	Score
CIN++: Enhancing Topological Message Passing	Jun 6, 2023	Graph ClassificationGraph Regression	CodeCode Available	1	5
Exploring Fake News Detection with Heterogeneous Social Media Context Graphs	Dec 13, 2022	ArticlesFake News Detection	CodeCode Available	1	5
CKGConv: General Graph Convolution with Continuous Kernels	Apr 21, 2024	Graph ClassificationGraph Learning	CodeCode Available	1	5
Approximate Network Motif Mining Via Graph Learning	Jun 2, 2022	BIG-bench Machine LearningGraph Classification	CodeCode Available	1	5
A Fair Comparison of Graph Neural Networks for Graph Classification	Dec 20, 2019	General ClassificationGraph Classification	CodeCode Available	1	5
Total Variation Graph Neural Networks	Nov 11, 2022	ClusteringGraph Classification	CodeCode Available	1	5
A Generalization of ViT/MLP-Mixer to Graphs	Dec 27, 2022	Graph ClassificationGraph Regression	CodeCode Available	1	5
Federated Graph Classification over Non-IID Graphs	Jun 25, 2021	ClassificationClustering	CodeCode Available	1	5
Agent-based Graph Neural Networks	Jun 22, 2022	Graph ClassificationGraph Neural Network	CodeCode Available	1	5
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification	Mar 22, 2021	Continual LearningGeneral Classification	CodeCode Available	1	5
Composition-based Multi-Relational Graph Convolutional Networks	Nov 8, 2019	General ClassificationGraph Classification	CodeCode Available	1	5
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns	Dec 21, 2023	Graph ClassificationGraph Learning	CodeCode Available	1	5
Adversarial Attack on Community Detection by Hiding Individuals	Jan 22, 2020	Adversarial AttackCommunity Detection	CodeCode Available	1	5
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks	Dec 1, 2020	General ClassificationGraph Classification	CodeCode Available	1	5
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations	Feb 8, 2021	Graph ClassificationGraph Neural Network	CodeCode Available	1	5
A Meta-Learning Approach for Training Explainable Graph Neural Networks	Sep 20, 2021	Graph ClassificationMeta-Learning	CodeCode Available	1	5
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks	Mar 26, 2020	Graph ClassificationGraph Learning	CodeCode Available	1	5
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data	Jul 5, 2021	AttributeDrug Discovery	CodeCode Available	1	5
Discovering Invariant Rationales for Graph Neural Networks	Jan 30, 2022	Graph Classification	CodeCode Available	1	5
DiffWire: Inductive Graph Rewiring via the Lovász Bound	Jun 15, 2022	Graph ClassificationNode Classification	CodeCode Available	1	5
Differentially Private Graph Classification with GNNs	Feb 5, 2022	BIG-bench Machine LearningClassification	CodeCode Available	1	5
Directional Graph Networks	Oct 6, 2020	Data AugmentationGraph Classification	CodeCode Available	1	5
DRew: Dynamically Rewired Message Passing with Delay	May 13, 2023	Graph ClassificationGraph Regression	CodeCode Available	1	5
Boosting Graph Structure Learning with Dummy Nodes	Jun 17, 2022	Graph ClassificationGraph Representation Learning	CodeCode Available	1	5
Backdoor Attacks to Graph Neural Networks	Jun 19, 2020	Backdoor AttackGeneral Classification	CodeCode Available	1	5

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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	SAEPool	Accuracy	80.36	—	Unverified
10	MAGPool	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	Accuracy	86.1	—	Unverified
5	WL-OA Kernel	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