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	Score
Fast Graph Representation Learning with PyTorch Geometric	Mar 6, 2019	GPUGraph Classification	CodeCode Available	1	5
Graph-level Representation Learning with Joint-Embedding Predictive Architectures	Sep 27, 2023	Contrastive LearningData Augmentation	CodeCode Available	1	5
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport	Mar 20, 2022	Graph ClassificationGraph Learning	CodeCode Available	1	5
Composition-based Multi-Relational Graph Convolutional Networks	Nov 8, 2019	General ClassificationGraph Classification	CodeCode Available	1	5
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training	Sep 7, 2020	Graph ClassificationGraph Neural Network	CodeCode Available	1	5
Graph Parsing Networks	Feb 22, 2024	Graph ClassificationGraph Reconstruction	CodeCode Available	1	5
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems	Aug 28, 2023	Collaborative FilteringGraph Classification	CodeCode Available	1	5
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation	May 24, 2022	Graph ClassificationKnowledge Distillation	CodeCode Available	1	5
Approximate Network Motif Mining Via Graph Learning	Jun 2, 2022	BIG-bench Machine LearningGraph Classification	CodeCode Available	1	5
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data	Jul 5, 2021	AttributeDrug Discovery	CodeCode Available	1	5
Exphormer: Sparse Transformers for Graphs	Mar 10, 2023	Graph ClassificationGraph Learning	CodeCode Available	1	5
A Fair Comparison of Graph Neural Networks for Graph Classification	Dec 20, 2019	General ClassificationGraph Classification	CodeCode Available	1	5
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers	Nov 26, 2024	Graph ClassificationGraph Representation Learning	CodeCode Available	1	5
Hierarchical Graph Capsule Network	Dec 16, 2020	Graph Classification	CodeCode Available	1	5
A Generalization of ViT/MLP-Mixer to Graphs	Dec 27, 2022	Graph ClassificationGraph Regression	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
Hierarchical Graph Representation Learning with Differentiable Pooling	Jun 22, 2018	General ClassificationGraph Classification	CodeCode Available	1	5
HL-Net: Heterophily Learning Network for Scene Graph Generation	May 3, 2022	Graph ClassificationGraph Generation	CodeCode Available	1	5
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications	Oct 17, 2021	Graph ClassificationInference Attack	CodeCode Available	1	5
Agent-based Graph Neural Networks	Jun 22, 2022	Graph ClassificationGraph Neural Network	CodeCode Available	1	5
Expander Graph Propagation	Oct 6, 2022	Graph ClassificationGraph Representation Learning	CodeCode Available	1	5
CKGConv: General Graph Convolution with Continuous Kernels	Apr 21, 2024	Graph ClassificationGraph Learning	CodeCode Available	1	5
Efficient Graph Deep Learning in TensorFlow with tf_geometric	Jan 27, 2021	Deep LearningGeneral Classification	CodeCode Available	1	5
Efficiently predicting high resolution mass spectra with graph neural networks	Jan 26, 2023	Graph ClassificationInformation Retrieval	CodeCode Available	1	5
Detecting Beneficial Feature Interactions for Recommender Systems	Aug 2, 2020	Graph ClassificationGraph Neural Network	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	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