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 501–525 of 1860 papers

Title	Date	Tasks	Status
Edge2Node: Reducing Edge Prediction to Node Classification	Nov 6, 2023	Graph Neural NetworkLink Prediction	—Unverified
Empty Category Detection using Path Features and Distributed Case Frames	Sep 1, 2015	Machine TranslationNode Classification	—Unverified
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression	May 21, 2025	Graph LearningInference Attack	—Unverified
Encoder Embedding for General Graph and Node Classification	May 24, 2024	ClassificationNode Classification	—Unverified
Graph Embedding with Hierarchical Attentive Membership	Oct 31, 2021	Graph EmbeddingLink Prediction	—Unverified
Graph Embedding with Rich Information through Heterogeneous Network	Oct 18, 2017	General ClassificationGraph Embedding	—Unverified
A Process for the Evaluation of Node Embedding Methods in the Context of Node Classification	May 29, 2020	BIG-bench Machine LearningFeature Engineering	—Unverified
GraphFM: A Scalable Framework for Multi-Graph Pretraining	Jul 16, 2024	Node Classification	—Unverified
Graph Augmentation for Cross Graph Domain Generalization	Feb 25, 2025	Data AugmentationDomain Generalization	—Unverified
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models	Jul 19, 2024	Active LearningKnowledge Graphs	—Unverified
Dynamic Stacked Generalization for Node Classification on Networks	Oct 16, 2016	ClassificationGeneral Classification	—Unverified
Dynamic Spiking Framework for Graph Neural Networks	Dec 15, 2023	Dynamic Node ClassificationGraph Representation Learning	—Unverified
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification	Dec 7, 2023	Graph LearningNode Classification	—Unverified
Active Discovery of Network Roles for Predicting the Classes of Network Nodes	Dec 27, 2013	Active LearningGeneral Classification	—Unverified
Graph Attention Networks with Positional Embeddings	May 9, 2021	Graph AttentionNode Classification	—Unverified
Dynamic Joint Variational Graph Autoencoders	Oct 4, 2019	ClusteringGraph Clustering	—Unverified
Boosting Graph Neural Networks via Adaptive Knowledge Distillation	Oct 12, 2022	Graph ClassificationGraph Mining	—Unverified
Dynamic Graph Node Classification via Time Augmentation	Dec 7, 2022	ClassificationGraph Neural Network	—Unverified
Dynamic Graph Embedding via LSTM History Tracking	Nov 5, 2019	Anomaly DetectionDynamic graph embedding	—Unverified
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges	Sep 29, 2022	Anomaly DetectionGraph Anomaly Detection	—Unverified
Class-Balanced and Reinforced Active Learning on Graphs	Feb 15, 2024	Active LearningGraph Classification	—Unverified
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
Graph Agent: Explicit Reasoning Agent for Graphs	Oct 25, 2023	Graph EmbeddingKnowledge Graphs	—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