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 1351–1375 of 1860 papers

Title	Date	Tasks	Status
Graph-Graph Similarity Network	Jan 1, 2021	ClassificationGeneral Classification	—Unverified
Label Efficient Regularization and Propagation for Graph Node Classification	Apr 19, 2022	AttributeBenchmarking	—Unverified
Graph Inference Learning for Semi-supervised Classification	Jan 17, 2020	ClassificationGeneral Classification	—Unverified
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data	Jun 5, 2021	Causal InferenceGraph Learning	—Unverified
Graph Information Matters: Understanding Graph Filters from Interaction Probability	Sep 29, 2021	Graph LearningNode Classification	—Unverified
GraphiT: Efficient Node Classification on Text-Attributed Graphs with Prompt Optimized LLMs	Feb 14, 2025	Node Classification	—Unverified
Graph Joint Attention Networks	Sep 28, 2020	BenchmarkingGraph Attention	—Unverified
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching	Apr 19, 2024	ClassificationClustering	—Unverified
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges	Dec 11, 2022	Graph AttentionGraph Classification	—Unverified
Graph Masked Language Models	Feb 24, 2025	Graph LearningKnowledge Graphs	—Unverified
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks	Jul 27, 2024	MemorizationNode Classification	—Unverified
Graph Mining under Data scarcity	Jun 7, 2024	ClassificationFew-Shot Learning	—Unverified
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction	Jun 21, 2021	Node Classification	—Unverified
Graph Neural Aggregation-diffusion with Metastability	Mar 29, 2024	Node Classification	—Unverified
Graph Neural Networks at a Fraction	Feb 10, 2025	Graph ClassificationLink Prediction	—Unverified
Graph Neural Networks for Binary Programming	Apr 7, 2024	Graph Representation LearningNode Classification	—Unverified
Graph Neural Networks with a Distribution of Parametrized Graphs	Oct 25, 2023	Graph RegressionNode Classification	—Unverified
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise	Nov 6, 2024	Graph ReconstructionNode Classification	—Unverified
Graph Neural Networks with Feature and Structure Aware Random Walk	Nov 19, 2021	Node ClassificationRepresentation Learning	—Unverified
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification	Feb 5, 2022	ClassificationGraph Classification	—Unverified
Graph Neural Reaction Diffusion Models	Jun 16, 2024	Node Classification	—Unverified
Graph Neural Tangent Kernel: Convergence on Large Graphs	Jan 25, 2023	Node ClassificationNode Regression	—Unverified
Robust Graph Data Learning via Latent Graph Convolutional Representation	Apr 26, 2019	Graph LearningNode Classification	—Unverified
Graph Ordering: Towards the Optimal by Learning	Jan 18, 2020	Combinatorial OptimizationCommunity Detection	—Unverified
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs	Oct 18, 2021	ClassificationGraph Classification	—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	Cleora	Accuracy	86.8	—	Unverified
7	NodeNet	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	GGCM	Accuracy	74.2	—	Unverified
6	GEM	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	SuperGAT MX	Accuracy	81.7	—	Unverified
5	Truncated Krylov	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