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 1276–1300 of 1860 papers

Title	Date	Tasks	Status
Time-Aware Neighbor Sampling for Temporal Graph Networks	Dec 18, 2021	Node Classification	—Unverified
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing	Dec 16, 2021	GPUGraph Property Prediction	—Unverified
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks	Dec 14, 2021	ClassificationEdge Classification	—Unverified
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations	Dec 8, 2021	Graph Representation LearningMulti-Label Classification	—Unverified
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks	Dec 7, 2021	Node Classification	CodeCode Available
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks	Dec 7, 2021	Learning TheoryNode Classification	—Unverified
Trivial bundle embeddings for learning graph representations	Dec 5, 2021	Link PredictionNode Classification	—Unverified
Multi-scale Graph Convolutional Networks with Self-Attention	Dec 4, 2021	Computational EfficiencyGraph Classification	—Unverified
Learning Spatial-Temporal Graphs for Active Speaker Detection	Dec 2, 2021	Active Speaker DetectionAudio-Visual Active Speaker Detection	—Unverified
Source Free Unsupervised Graph Domain Adaptation	Dec 2, 2021	Domain AdaptationGRAPH DOMAIN ADAPTATION	CodeCode Available
Multi-task Self-distillation for Graph-based Semi-Supervised Learning	Dec 2, 2021	Node Classification	—Unverified
AutoGEL: An Automated Graph Neural Network with Explicit Link Information	Dec 2, 2021	Graph ClassificationGraph Neural Network	CodeCode Available
Adaptive Data Augmentation on Temporal Graphs	Dec 1, 2021	Data AugmentationNode Classification	—Unverified
Ultrahyperbolic Neural Networks	Dec 1, 2021	Node Classification	—Unverified
Structure-Aware Label Smoothing for Graph Neural Networks	Dec 1, 2021	ClassificationNode Classification	—Unverified
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels	Dec 1, 2021	Graph AttentionNode Classification	—Unverified
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks	Nov 29, 2021	Graph Neural NetworkNode Classification	CodeCode Available
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network	Nov 26, 2021	Multimodal Deep LearningNode Classification	—Unverified
Network In Graph Neural Network	Nov 23, 2021	Fraud DetectionGraph Neural Network	—Unverified
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks	Nov 23, 2021	Node ClassificationRelational Reasoning	—Unverified
Graph Neural Networks with Feature and Structure Aware Random Walk	Nov 19, 2021	Node ClassificationRepresentation Learning	—Unverified
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks	Nov 17, 2021	Knowledge Graph EmbeddingsLink Prediction	CodeCode Available
Neural Class Expression Synthesis	Nov 16, 2021	Knowledge GraphsMachine Translation	CodeCode Available
Structure and Features Fusion with Evidential Graph Convolutional Neural Network for Node Classification	Nov 16, 2021	ClassificationGraph Representation Learning	—Unverified
CN-Motifs Perceptive Graph Neural Networks	Nov 15, 2021	Graph Representation LearningNode 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	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