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 851–875 of 1860 papers

Title	Date	Tasks	Status	Hype
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification	Oct 5, 2022	ClassificationNode Classification	—Unverified	0
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation	Oct 3, 2022	Graph Neural NetworkInformativeness	—Unverified	0
ASGNN: Graph Neural Networks with Adaptive Structure	Oct 3, 2022	Graph Neural NetworkNode Classification	—Unverified	0
Gradient Gating for Deep Multi-Rate Learning on Graphs	Oct 2, 2022	Graph Learning	CodeCode Available	1
Spectral Augmentation for Self-Supervised Learning on Graphs	Oct 2, 2022	Contrastive LearningNode Classification	CodeCode Available	1
Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks	Sep 30, 2022	Link PredictionNode Classification	CodeCode Available	0
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization	Sep 30, 2022	Link PredictionNode Classification	CodeCode Available	1
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges	Sep 29, 2022	Anomaly DetectionGraph Anomaly Detection	—Unverified	0
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding	Sep 23, 2022	Graph LearningGraph Neural Network	—Unverified	0
Imbalanced Node Processing Method in Graph Neural Network Classification Task	Sep 18, 2022	ClassificationGraph Neural Network	—Unverified	0
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs	Sep 17, 2022	graph constructionGraph Neural Network	—Unverified	0
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach	Sep 17, 2022	Node Classification	—Unverified	0
SPGP: Structure Prototype Guided Graph Pooling	Sep 16, 2022	Graph ClassificationGraph Learning	—Unverified	0
A Systematic Evaluation of Node Embedding Robustness	Sep 16, 2022	ClassificationNode Classification	CodeCode Available	0
Hub-aware Random Walk Graph Embedding Methods for Classification	Sep 15, 2022	ClassificationGraph Embedding	—Unverified	0
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks	Sep 15, 2022	Graph Neural NetworkNode Classification	—Unverified	0
Graph Perceiver IO: A General Architecture for Graph Structured Data	Sep 14, 2022	Graph ClassificationLink Prediction	CodeCode Available	0
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond	Sep 13, 2022	InformativenessNode Classification	—Unverified	0
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks	Sep 13, 2022	FairnessNode Classification	CodeCode Available	0
Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in Videos	Sep 13, 2022	Action SegmentationGraph Neural Network	—Unverified	0
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs	Sep 12, 2022	Generalization BoundsNode Classification	—Unverified	0
A Complex Network based Graph Embedding Method for Link Prediction	Sep 11, 2022	Data VisualizationGraph Embedding	—Unverified	0
Towards Sparsification of Graph Neural Networks	Sep 11, 2022	image-classificationImage Classification	CodeCode Available	0
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath	Sep 9, 2022	Link PredictionMeta-Learning	—Unverified	0
Structure-Preserving Graph Representation Learning	Sep 2, 2022	Graph Representation LearningNode Classification	CodeCode Available	1

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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	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	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