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 476–500 of 1860 papers

Title	Date	Tasks	Status
Initialization for Network Embedding: A Graph Partition Approach	Aug 28, 2019	General Classificationgraph partitioning	—Unverified
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs	May 29, 2025	Domain AdaptationLink Prediction	—Unverified
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning	Dec 12, 2023	Contrastive LearningGraph Representation Learning	—Unverified
Edge-Featured Graph Attention Network	Jan 19, 2021	Graph AttentionGraph Learning	—Unverified
A Statistical Relational Approach to Learning Distance-based GCNs	Feb 13, 2021	Density EstimationLink Prediction	—Unverified
Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification	Dec 16, 2020	Node Classification	—Unverified
Edge: Enriching Knowledge Graph Embeddings with External Text	Apr 11, 2021	Knowledge Graph EmbeddingsKnowledge Graphs	—Unverified
Bridging Graph Network to Lifelong Learning with Feature Interaction	Jan 1, 2021	Graph ClassificationLifelong learning	—Unverified
Adversarial Context Aware Network Embeddings for Textual Networks	Nov 5, 2020	Node ClassificationRepresentation Learning	—Unverified
Effective Polynomial Filter Adaptation for Graph Neural Networks	Sep 29, 2021	Node Classification	—Unverified
Effects of Graph Convolutions in Multi-layer Networks	Apr 20, 2022	Node ClassificationStochastic Block Model	—Unverified
Graph Agent: Explicit Reasoning Agent for Graphs	Oct 25, 2023	Graph EmbeddingKnowledge Graphs	—Unverified
Graph Augmentation for Cross Graph Domain Generalization	Feb 25, 2025	Data AugmentationDomain Generalization	—Unverified
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos	Jul 13, 2022	Change DetectionDeep Learning	—Unverified
Uplifting Message Passing Neural Network with Graph Original Information	Oct 8, 2022	Graph Neural NetworkGraph Representation Learning	—Unverified
Gradient Inversion Attack on Graph Neural Networks	Nov 29, 2024	Federated LearningGraph Classification	—Unverified
Are Hyperbolic Representations in Graphs Created Equal?	Jul 15, 2020	Graph LearningGraph Representation Learning	—Unverified
Graffin: Stand for Tails in Imbalanced Node Classification	Sep 9, 2024	ClassificationData Augmentation	—Unverified
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks	Jul 22, 2021	Inductive BiasNode Classification	—Unverified
Edge2Node: Reducing Edge Prediction to Node Classification	Nov 6, 2023	Graph Neural NetworkLink Prediction	—Unverified
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression	May 21, 2025	Graph LearningInference Attack	—Unverified
_2-norm Flow Diffusion in Near-Linear Time	May 30, 2021	ClusteringGraph Clustering	—Unverified
Bures-Wasserstein Means of Graphs	May 31, 2023	Graph SimilarityNode Classification	—Unverified
Embedding Node Structural Role Identity Using Stress Majorization	Sep 14, 2021	Node Classification	—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

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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	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