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 901–927 of 927 papers

Title	Date	Tasks	Status
Next Level Message-Passing with Hierarchical Support Graphs	Jun 22, 2024	Graph ClassificationGraph Learning	CodeCode Available
Cell Attention Networks	Sep 16, 2022	Graph AttentionGraph Classification	CodeCode Available
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules	Nov 23, 2018	ClassificationGeneral Classification	CodeCode Available
A simple yet effective baseline for non-attributed graph classification	Nov 8, 2018	ClassificationComputational Efficiency	CodeCode Available
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions	Jan 1, 2024	Graph ClassificationGraph Neural Network	CodeCode Available
Explainability in subgraphs-enhanced Graph Neural Networks	Sep 16, 2022	Graph Classification	CodeCode Available
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks	Jul 2, 2024	ClusteringGraph Classification	CodeCode Available
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification	Mar 28, 2023	Graph Classification	CodeCode Available
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling	Jun 22, 2023	Graph ClassificationRepresentation Learning	CodeCode Available
Catch Causal Signals from Edges for Label Imbalance in Graph Classification	Jan 3, 2025	Graph Classification	CodeCode Available
Capsule Graph Neural Network	May 1, 2019	Graph ClassificationGraph Neural Network	CodeCode Available
Evolution of Graph Classifiers	Oct 4, 2019	Graph Classification	CodeCode Available
Evaluating Link Prediction Explanations for Graph Neural Networks	Aug 3, 2023	Graph ClassificationLink Prediction	CodeCode Available
A Simple Baseline Algorithm for Graph Classification	Oct 22, 2018	BIG-bench Machine LearningClassification	CodeCode Available
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations	Nov 18, 2019	ClassificationGeneral Classification	CodeCode Available
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing	Oct 6, 2022	Code ClassificationData Augmentation	CodeCode Available
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification	Apr 17, 2023	ClassificationData Augmentation	CodeCode Available
DeepGCNs: Can GCNs Go as Deep as CNNs?	Apr 7, 2019	3D Semantic SegmentationGraph Classification	CodeCode Available
On the Initialization of Graph Neural Networks	Dec 5, 2023	Graph ClassificationGraph Representation Learning	CodeCode Available
On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks	Jan 11, 2024	Graph ClassificationGraph Neural Network	CodeCode Available
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks	Oct 26, 2023	Contrastive LearningGraph Classification	CodeCode Available
Strengthening structural baselines for graph classification using Local Topological Profile	May 1, 2023	Graph ClassificationGraph Representation Learning	CodeCode Available
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation	Oct 10, 2023	Graph ClassificationGraph Embedding	CodeCode Available
Structural Deep Network Embedding	Jun 1, 2016	Graph ClassificationLink Prediction	CodeCode Available
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction	Apr 18, 2022	AttributeGraph Classification	CodeCode Available
EGC2: Enhanced Graph Classification with Easy Graph Compression	Jul 16, 2021	ClassificationGraph Classification	CodeCode Available
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound	May 12, 2022	Graph Classification	CodeCode Available

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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