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 326–350 of 1860 papers

Title	Date	Tasks	Status	Hype
Heterogeneous Graph Tree Networks	Sep 1, 2022	Node Classification	CodeCode Available	1
Hierarchical Message-Passing Graph Neural Networks	Sep 8, 2020	Community DetectionGraph Neural Network	CodeCode Available	1
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection	Apr 17, 2025	Link PredictionNode Classification	CodeCode Available	1
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited	Feb 4, 2022	GPRGraph Learning	CodeCode Available	1
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes	Sep 22, 2023	Node ClassificationNode Property Prediction	CodeCode Available	1
Directional Graph Networks	Oct 6, 2020	Data AugmentationGraph Classification	CodeCode Available	1
Multi-hop Attention Graph Neural Network	Sep 29, 2020	Graph Neural NetworkGraph Representation Learning	CodeCode Available	1
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs	Feb 11, 2024	Inductive BiasLanguage Modeling	CodeCode Available	1
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification	Nov 26, 2024	ClassificationGraph Mining	CodeCode Available	1
A Self-Attention Network based Node Embedding Model	Jun 22, 2020	General ClassificationLink Prediction	CodeCode Available	1
Hypergraph Transformer for Semi-Supervised Classification	Dec 18, 2023	ClassificationNode Classification	CodeCode Available	1
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation	Feb 26, 2025	BenchmarkingGraph Learning	CodeCode Available	1
Imbalanced Graph Classification via Graph-of-Graph Neural Networks	Dec 1, 2021	ClassificationGraph Classification	CodeCode Available	1
Augmentation-Free Self-Supervised Learning on Graphs	Dec 5, 2021	Node ClassificationSelf-Supervised Learning	CodeCode Available	1
CrossWalk: Fairness-enhanced Node Representation Learning	May 6, 2021	FairnessLink Prediction	CodeCode Available	1
Towards Fair Graph Neural Networks via Graph Counterfactual	Jul 10, 2023	counterfactualFairness	CodeCode Available	1
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning	May 8, 2023	AttributeContrastive Learning	CodeCode Available	1
A Unified Lottery Ticket Hypothesis for Graph Neural Networks	Feb 12, 2021	Link PredictionNode Classification	CodeCode Available	1
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification	Oct 22, 2021	ClassificationGraph Neural Network	CodeCode Available	1
Adaptive Graph Diffusion Networks	Dec 30, 2020	GPULink Prediction	CodeCode Available	1
Lifelong Learning of Graph Neural Networks for Open-World Node Classification	Jun 25, 2020	Lifelong learningNode Classification	CodeCode Available	1
CAT-Walk: Inductive Hypergraph Learning via Set Walks	Jun 19, 2023	Hyperedge PredictionNode Classification	CodeCode Available	1
Adaptive Universal Generalized PageRank Graph Neural Network	Jun 14, 2020	GPRGraph Neural Network	CodeCode Available	1
A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning	Jul 30, 2024	Knowledge GraphsNode Classification	CodeCode Available	1
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily	Mar 19, 2022	Node Classification	CodeCode Available	1

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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	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	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