Node Classification

Node Classification is a machine learning task in graph-based data analysis, where the goal is to assign labels to nodes in a graph based on the properties of nodes and the relationships between them.

Node Classification models aim to predict non-existing node properties (known as the target property) based on other node properties. Typical models used for node classification consists of a large family of graph neural networks. Model performance can be measured using benchmark datasets like Cora, Citeseer, and Pubmed, among others, typically using Accuracy and F1.

( Image credit: Fast Graph Representation Learning With PyTorch Geometric )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 951–975 of 1860 papers

Title	Date	Tasks	Status	Hype
Recipe for a General, Powerful, Scalable Graph Transformer	May 25, 2022	Graph ClassificationGraph Property Prediction	CodeCode Available	2
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks	May 24, 2022	Adversarial AttackGraph Neural Network	CodeCode Available	1
High-Order Pooling for Graph Neural Networks with Tensor Decomposition	May 24, 2022	ClassificationGraph Classification	—Unverified	0
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation	May 24, 2022	Graph ClassificationKnowledge Distillation	CodeCode Available	1
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification	May 23, 2022	ClassificationContrastive Learning	—Unverified	0
GraphMAE: Self-Supervised Masked Graph Autoencoders	May 22, 2022	Contrastive LearningGraph Classification	CodeCode Available	2
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks	May 20, 2022	ClusteringGraph Attention	CodeCode Available	1
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs	May 20, 2022	Financial AnalysisMulti-Task Learning	—Unverified	0
On the Prediction Instability of Graph Neural Networks	May 20, 2022	Node ClassificationPrediction	CodeCode Available	0
FairNorm: Fair and Fast Graph Neural Network Training	May 20, 2022	FairnessGraph Neural Network	—Unverified	0
Towards Explanation for Unsupervised Graph-Level Representation Learning	May 20, 2022	Decision MakingGraph Classification	CodeCode Available	2
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders	May 20, 2022	Contrastive LearningLink Prediction	CodeCode Available	6
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis	May 19, 2022	Graph ClassificationLink Prediction	—Unverified	0
A Simple Yet Effective SVD-GCN for Directed Graphs	May 19, 2022	DenoisingGraph Neural Network	CodeCode Available	0
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation	May 19, 2022	Graph LearningNode Classification	CodeCode Available	0
CellTypeGraph: A New Geometric Computer Vision Benchmark	May 17, 2022	Graph Neural NetworkNode Classification	CodeCode Available	0
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily	May 15, 2022	Node ClassificationNode Classification on Non-Homophilic (Heterophilic) Graphs	CodeCode Available	1
NDGGNET-A Node Independent Gate based Graph Neural Networks	May 11, 2022	Graph ClassificationLink Prediction	—Unverified	0
A Survey on Fairness for Machine Learning on Graphs	May 11, 2022	BIG-bench Machine LearningFairness	CodeCode Available	0
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks	May 8, 2022	Node Classification	—Unverified	0
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees	May 7, 2022	Graph ClassificationNode Classification	CodeCode Available	0
Optimal Propagation for Graph Neural Networks	May 6, 2022	Node Classification	—Unverified	0
LPGNet: Link Private Graph Networks for Node Classification	May 6, 2022	ClassificationNode Classification	CodeCode Available	0
Learning Label Initialization for Time-Dependent Harmonic Extension	May 3, 2022	ClassificationNode Classification	CodeCode Available	0
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation	May 2, 2022	ClassificationContrastive Learning	—Unverified	0

Show:10 25 50

← PrevPage 39 of 75Next →

All datasets Citeseer Pubmed Cora CiteSeer with Public Split: fixed 20 nodes per class PubMed with Public Split: fixed 20 nodes per class Cora with Public Split: fixed 20 nodes per class PPI Coauthor CS Cora (0.5%)Cora (1%)Cora (3%)PubMed (0.03%)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	NodeNet	Accuracy	80.09	—	Unverified
2	SplineCNN	Accuracy	79.2	—	Unverified
3	PathNet	Accuracy (%)	77.98	—	Unverified
4	3ference	Accuracy	76.33	—	Unverified
5	MMA	Accuracy	76.3	—	Unverified
6	PPNP	Accuracy	75.83	—	Unverified
7	CoLinkDist	Accuracy	75.79	—	Unverified
8	CoLinkDistMLP	Accuracy	75.77	—	Unverified
9	APPNP	Accuracy	75.73	—	Unverified
10	Cleora	Accuracy	75.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NodeNet	Accuracy	90.21	—	Unverified
2	CoLinkDist	Accuracy	89.58	—	Unverified
3	CoLinkDistMLP	Accuracy	89.53	—	Unverified
4	PathNet	Accuracy (%)	88.92	—	Unverified
5	3ference	Accuracy	88.9	—	Unverified
6	SplineCNN	Accuracy	88.88	—	Unverified
7	LinkDist	Accuracy	88.86	—	Unverified
8	LinkDistMLP	Accuracy	88.79	—	Unverified
9	PairE	F1	88.57	—	Unverified
10	GCN + Mixup	Accuracy	87.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LinkDist	Accuracy	88.24	—	Unverified
2	CoLinkDist	Accuracy	87.89	—	Unverified
3	3ference	Accuracy	87.78	—	Unverified
4	LinkDistMLP	Accuracy	87.58	—	Unverified
5	CoLinkDistMLP	Accuracy	87.54	—	Unverified
6	NodeNet	Accuracy	86.8	—	Unverified
7	Cleora	Accuracy	86.8	—	Unverified
8	MMA	Accuracy	85.8	—	Unverified
9	GResNet(GAT)	Accuracy	85.5	—	Unverified
10	TransGNN	1:1 Accuracy	85.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OGC	Accuracy	77.5	—	Unverified
2	LDS-GNN	Accuracy	75	—	Unverified
3	CPF-tra-APPNP	Accuracy	74.6	—	Unverified
4	G3NN	Accuracy	74.5	—	Unverified
5	GEM	Accuracy	74.2	—	Unverified
6	GGCM	Accuracy	74.2	—	Unverified
7	Truncated Krylov	Accuracy	73.86	—	Unverified
8	SSGC	Accuracy	73.6	—	Unverified
9	OKDEEM	Accuracy	73.53	—	Unverified
10	GCNII	Accuracy	73.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OGC	Accuracy	83.4	—	Unverified
2	CPF-tra-GCNII	Accuracy	83.2	—	Unverified
3	DSGCN	Accuracy	81.9	—	Unverified
4	Truncated Krylov	Accuracy	81.7	—	Unverified
5	SuperGAT MX	Accuracy	81.7	—	Unverified
6	G-APPNP	Accuracy	80.95	—	Unverified
7	GGCM	Accuracy	80.8	—	Unverified
8	GCN(predicted-targets)	Accuracy	80.42	—	Unverified
9	SSGC	Accuracy	80.4	—	Unverified
10	GCNII	Accuracy	80.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OGC	Accuracy	86.9	—	Unverified
2	GCN-TV	Accuracy	86.3	—	Unverified
3	GCNII	Accuracy	85.5	—	Unverified
4	CPF-ind-APPNP	Accuracy	85.3	—	Unverified
5	AIR-GCN	Accuracy	84.7	—	Unverified
6	H-GCN	Accuracy	84.5	—	Unverified
7	G-APPNP	Accuracy	84.31	—	Unverified
8	SuperGAT MX	Accuracy	84.3	—	Unverified
9	DSGCN	Accuracy	84.2	—	Unverified
10	LDS-GNN	Accuracy	84.1	—	Unverified