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 551–575 of 1860 papers

Title	Date	Tasks	Status
Graph-FCN for image semantic segmentation	Jan 2, 2020	Deep LearningGeneral Classification	—Unverified
GraphFM: Improving Large-Scale GNN Training via Feature Momentum	Jun 14, 2022	Node Classification	—Unverified
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification	Dec 14, 2020	Contrastive LearningGraph Learning	—Unverified
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network	Jan 14, 2021	DenoisingGraph Neural Network	—Unverified
Graph Embedding with Hierarchical Attentive Membership	Oct 31, 2021	Graph EmbeddingLink Prediction	—Unverified
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification	Apr 28, 2021	General ClassificationGraph Learning	—Unverified
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection	Dec 24, 2019	ClusteringCommunity Detection	—Unverified
Each Graph is a New Language: Graph Learning with LLMs	Jan 20, 2025	AttributeGraph Learning	—Unverified
Graph Embedding with Rich Information through Heterogeneous Network	Oct 18, 2017	General ClassificationGraph Embedding	—Unverified
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs	Jun 14, 2024	Link PredictionNode Classification	—Unverified
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network	Nov 26, 2019	Network EmbeddingNode Classification	—Unverified
Anisotropic Graph Convolutional Network for Semi-supervised Learning	Oct 20, 2020	ClassificationGeneral Classification	—Unverified
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification	Jan 4, 2022	Graph Neural NetworkNode Classification	—Unverified
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification	Sep 29, 2021	BlockingClassification	—Unverified
Graphfool: Targeted Label Adversarial Attack on Graph Embedding	Feb 24, 2021	Adversarial AttackClassification	—Unverified
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation	Nov 9, 2023	Node Classification	—Unverified
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing	Dec 16, 2021	GPUGraph Property Prediction	—Unverified
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding	May 23, 2025	Node ClassificationRepresentation Learning	—Unverified
Beyond the Known: Novel Class Discovery for Open-world Graph Learning	Mar 29, 2024	Graph LearningGraph Neural Network	—Unverified
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications	Sep 22, 2017	DiversityGraph Embedding	—Unverified
Directed hypergraph neural network	Aug 9, 2020	General ClassificationNode Classification	—Unverified
Directed Homophily-Aware Graph Neural Network	May 28, 2025	Graph Neural NetworkInformativeness	—Unverified
Unsupervised Graph Embedding via Adaptive Graph Learning	Mar 10, 2020	Clusteringgraph construction	—Unverified
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks	Sep 15, 2022	Graph Neural NetworkNode Classification	—Unverified
DINE: A Framework for Deep Incomplete Network Embedding	Aug 9, 2020	General ClassificationLink Prediction	—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	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