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 1426–1450 of 1860 papers

Title	Date	Tasks	Status
High-Order Pooling for Graph Neural Networks with Tensor Decomposition	May 24, 2022	ClassificationGraph Classification	—Unverified
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning	Sep 7, 2021	AttributeGraph Neural Network	—Unverified
Holistic Memory Diversification for Incremental Learning in Growing Graphs	Jun 11, 2024	Incremental LearningNode Classification	—Unverified
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank	Jun 17, 2019	CPUGraph Reconstruction	—Unverified
HONEM: Learning Embedding for Higher Order Networks	Aug 15, 2019	Feature EngineeringLink Prediction	—Unverified
Relational Graph Neural Network Design via Progressive Neural Architecture Search	May 30, 2021	Graph Neural NetworkNeural Architecture Search	—Unverified
HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs	Apr 9, 2020	General ClassificationGraph Attention	—Unverified
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph	Sep 1, 2024	NegationNode Classification	—Unverified
How Frequency Effect Graph Neural Networks	Sep 29, 2021	Node Classification	—Unverified
How Particle System Theory Enhances Hypergraph Message Passing	May 24, 2025	Node Classification	—Unverified
hpGAT: High-order Proximity Informed Graph Attention Network	Aug 28, 2019	Graph AttentionNode Classification	—Unverified
Hub-aware Random Walk Graph Embedding Methods for Classification	Sep 15, 2022	ClassificationGraph Embedding	—Unverified
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach	Oct 29, 2023	Inductive BiasLink Prediction	—Unverified
Hyperbolic Heterogeneous Graph Attention Networks	Apr 15, 2024	ClusteringGraph Attention	—Unverified
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs	Sep 16, 2024	Graph ClusteringNode Classification	—Unverified
HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views	Feb 18, 2025	AttributeContrastive Learning	—Unverified
Hypergraph-Based Dynamic Graph Node Classification	Dec 29, 2024	ClassificationNode Classification	—Unverified
Hypergraph Convolution and Hypergraph Attention	Jan 23, 2019	Graph Neural NetworkNode Classification	—Unverified
Training-Free Message Passing for Learning on Hypergraphs	Feb 8, 2024	ClassificationHyperedge Prediction	—Unverified
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network	Feb 15, 2024	Node Classification	—Unverified
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach	Jun 13, 2019	Graph EmbeddingGraph Mining	—Unverified
ID-MixGCL: Identity Mixup for Graph Contrastive Learning	Apr 20, 2023	Contrastive LearningGraph Classification	—Unverified
I-GCN: Robust Graph Convolutional Network via Influence Mechanism	Dec 11, 2020	Node Classification	—Unverified
Imbalanced Node Classification Beyond Homophilic Assumption	Apr 28, 2023	ClassificationNode Classification	—Unverified
Imbalanced Node Processing Method in Graph Neural Network Classification Task	Sep 18, 2022	ClassificationGraph Neural Network	—Unverified

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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	DifNet	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