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 626–650 of 927 papers

Title	Date	Tasks	Status	Hype
Decimated Framelet System on Graphs and Fast G-Framelet Transforms	Dec 12, 2020	Graph ClassificationGraph Representation Learning	CodeCode Available	0
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning	Dec 10, 2020	Graph ClassificationGraph Representation Learning	—Unverified	0
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space	Dec 7, 2020	Graph ClassificationGraph Learning	CodeCode Available	0
COPT: Coordinated Optimal Transport on Graphs	Dec 1, 2020	Graph Classification	—Unverified	0
Random Walk Graph Neural Networks	Dec 1, 2020	Graph ClassificationGraph Neural Network	—Unverified	0
A graph similarity for deep learning	Dec 1, 2020	Deep LearningGraph Classification	—Unverified	0
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks	Dec 1, 2020	General ClassificationGraph Classification	CodeCode Available	1
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources	Nov 30, 2020	ClusteringGraph Classification	—Unverified	0
Classification by Attention: Scene Graph Classification with Prior Knowledge	Nov 19, 2020	ClassificationGeneral Classification	—Unverified	0
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks	Nov 14, 2020	Auxiliary LearningGraph Classification	—Unverified	0
Two-stage Training of Graph Neural Networks for Graph Classification	Nov 10, 2020	ClassificationGeneral Classification	CodeCode Available	1
Parameterized Explainer for Graph Neural Network	Nov 9, 2020	Graph ClassificationGraph Neural Network	CodeCode Available	1
Sampling and Recovery of Graph Signals based on Graph Neural Networks	Nov 3, 2020	Graph ClassificationGraph Neural Network	—Unverified	0
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents	Nov 1, 2020	Graph ClassificationLanguage Modeling	—Unverified	0
Dark Reciprocal-Rank: Boosting Graph-Convolutional Self-Localization Network via Teacher-to-student Knowledge Transfer	Nov 1, 2020	Graph ClassificationTransfer Learning	—Unverified	0
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning	Oct 30, 2020	General ClassificationGraph Classification	CodeCode Available	0
Graph embedding using multi-layer adjacent point merging model	Oct 28, 2020	Classificationfeature selection	—Unverified	0
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems	Oct 26, 2020	Graph ClassificationMulti-Hypotheses 3D Human Pose Estimation	—Unverified	0
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies	Oct 26, 2020	General ClassificationGraph Classification	CodeCode Available	1
Co-embedding of Nodes and Edges with Graph Neural Networks	Oct 25, 2020	BIG-bench Machine LearningGraph Classification	—Unverified	0
Line Graph Neural Networks for Link Prediction	Oct 20, 2020	ClassificationGeneral Classification	CodeCode Available	1
Robust Optimization as Data Augmentation for Large-scale Graphs	Oct 19, 2020	Data AugmentationGraph Classification	CodeCode Available	1
Topology-Aware Graph Pooling Networks	Oct 19, 2020	Graph Classification	—Unverified	0
K-plex Cover Pooling for Graph Neural Networks	Oct 17, 2020	Graph Classification	—Unverified	0
Fast Graph Kernel with Optical Random Features	Oct 16, 2020	Graph Classification	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