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

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Showing 526–550 of 1860 papers

Title	Date	Tasks	Status
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks	Mar 12, 2021	Link PredictionNode Classification	—Unverified
Node-Time Conditional Prompt Learning In Dynamic Graphs	May 22, 2024	Link PredictionNode Classification	—Unverified
Bonsai: Gradient-free Graph Condensation for Node Classification	Oct 23, 2024	ClassificationNode Classification	—Unverified
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs	Aug 13, 2024	Dynamic Link PredictionDynamic Node Classification	—Unverified
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems	Aug 27, 2020	Link PredictionNode Classification	—Unverified
Adversarial Attacks on Deep Graph Matching	Dec 1, 2020	Adversarial AttackDensity Estimation	—Unverified
Dual Node and Edge Fairness-Aware Graph Partition	Jun 16, 2023	FairnessLink Prediction	—Unverified
Graph Convolution: A High-Order and Adaptive Approach	Jun 29, 2017	General ClassificationNode Classification	—Unverified
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness	Jun 7, 2023	MULTI-VIEW LEARNINGNode Classification	—Unverified
Dual GNNs: Graph Neural Network Learning with Limited Supervision	Jun 29, 2021	Graph Neural NetworkNode Classification	—Unverified
Blockchain Phishing Scam Detection via Multi-channel Graph Classification	Aug 19, 2021	ClassificationGraph Classification	—Unverified
BLIS-Net: Classifying and Analyzing Signals on Graphs	Oct 26, 2023	ClassificationGraph Classification	—Unverified
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos	Jul 13, 2022	Change DetectionDeep Learning	—Unverified
Label Inference Attacks against Node-level Vertical Federated GNNs	Aug 4, 2023	Federated LearningNode Classification	—Unverified
Graph Clustering with Graph Neural Networks	Jun 30, 2020	AttributeClustering	—Unverified
Graph Coarsening with Message-Passing Guarantees	May 28, 2024	Node Classification	—Unverified
GraphGAN: Generating Graphs via Random Walks	Jan 1, 2018	Graph GenerationLink Prediction	—Unverified
Graph Neural Networks for Binary Programming	Apr 7, 2024	Graph Representation LearningNode Classification	—Unverified
Document Network Projection in Pretrained Word Embedding Space	Jan 16, 2020	ClusteringGeneral Classification	—Unverified
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection	Jan 27, 2021	Active LearningArticles	—Unverified
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels	Jan 18, 2024	Node Classification	—Unverified
Distributional Signals for Node Classification in Graph Neural Networks	Apr 7, 2023	ClassificationNode Classification	—Unverified
Adversarial Attack on Hierarchical Graph Pooling Neural Networks	May 23, 2020	Adversarial AttackClassification	—Unverified
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling	Mar 26, 2025	Node ClassificationPseudo Label	—Unverified
Distributed Representation of Subgraphs	Feb 22, 2017	Community DetectionNode 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	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