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 1076–1100 of 1860 papers

Title	Date	Tasks	Status	Hype
Learning Spatial-Temporal Graphs for Active Speaker Detection	Dec 2, 2021	Active Speaker DetectionAudio-Visual Active Speaker Detection	—Unverified	0
Imbalanced Graph Classification via Graph-of-Graph Neural Networks	Dec 1, 2021	ClassificationGraph Classification	CodeCode Available	1
Structure-Aware Label Smoothing for Graph Neural Networks	Dec 1, 2021	ClassificationNode Classification	—Unverified	0
Ultrahyperbolic Neural Networks	Dec 1, 2021	Node Classification	—Unverified	0
Adaptive Data Augmentation on Temporal Graphs	Dec 1, 2021	Data AugmentationNode Classification	—Unverified	0
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels	Dec 1, 2021	Graph AttentionNode Classification	—Unverified	0
Understanding over-squashing and bottlenecks on graphs via curvature	Nov 29, 2021	Node Classification	CodeCode Available	1
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks	Nov 29, 2021	Graph Neural NetworkNode Classification	CodeCode Available	0
HGATE: Heterogeneous Graph Attention Auto-Encoders	Nov 28, 2021	Graph AttentionGraph Representation Learning	CodeCode Available	1
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network	Nov 26, 2021	Multimodal Deep LearningNode Classification	—Unverified	0
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020	Nov 25, 2021	Graph ClassificationNode Classification	CodeCode Available	1
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features	Nov 23, 2021	GPUNode Classification	CodeCode Available	1
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks	Nov 23, 2021	Node ClassificationRelational Reasoning	—Unverified	0
Network In Graph Neural Network	Nov 23, 2021	Fraud DetectionGraph Neural Network	—Unverified	0
Graph Neural Networks with Feature and Structure Aware Random Walk	Nov 19, 2021	Node ClassificationRepresentation Learning	—Unverified	0
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks	Nov 17, 2021	Knowledge Graph EmbeddingsLink Prediction	CodeCode Available	0
Structure and Features Fusion with Evidential Graph Convolutional Neural Network for Node Classification	Nov 16, 2021	ClassificationGraph Representation Learning	—Unverified	0
Neural Class Expression Synthesis	Nov 16, 2021	Knowledge GraphsMachine Translation	CodeCode Available	0
CN-Motifs Perceptive Graph Neural Networks	Nov 15, 2021	Graph Representation LearningNode Classification	—Unverified	0
p-Laplacian Based Graph Neural Networks	Nov 14, 2021	Node Classification	CodeCode Available	1
Implicit vs Unfolded Graph Neural Networks	Nov 12, 2021	Graph AttentionNode Classification	—Unverified	0
Simplifying approach to Node Classification in Graph Neural Networks	Nov 12, 2021	Classificationfeature selection	CodeCode Available	1
Topic-aware latent models for representation learning on networks	Nov 10, 2021	Community DetectionLink Prediction	—Unverified	0
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods	Nov 8, 2021	Node Classification	CodeCode Available	1
Graph Embedding with Hierarchical Attentive Membership	Oct 31, 2021	Graph EmbeddingLink Prediction	—Unverified	0

Show:10 25 50

← PrevPage 44 of 75Next →

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	NodeNet	Accuracy	86.8	—	Unverified
7	Cleora	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	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