SOTAVerified

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

Showing 15511600 of 1860 papers

TitleStatusHype
Spectral Graph Attention Network with Fast Eigen-approximation0
Unsupervised Graph Embedding via Adaptive Graph Learning0
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
A Survey of Adversarial Learning on GraphsCode1
Knowledge Graphs and Knowledge Networks: The Story in Brief0
Factorized Graph Representations for Semi-Supervised Learning from Sparse DataCode0
EPINE: Enhanced Proximity Information Network Embedding0
PushNet: Efficient and Adaptive Neural Message PassingCode0
Self-Supervised Graph Representation Learning via Global Context Prediction0
Permutohedral-GCN: Graph Convolutional Networks with Global Attention0
Benchmarking Graph Neural NetworksCode2
Inductive Representation Learning on Temporal GraphsCode1
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks0
Self-Enhanced GNN: Improving Graph Neural Networks Using Model OutputsCode0
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
Investigating Extensions to Random Walk Based Graph Embedding0
Unifying Graph Convolutional Neural Networks and Label PropagationCode1
Disease State Prediction From Single-Cell Data Using Graph Attention NetworksCode1
Geom-GCN: Geometric Graph Convolutional NetworksCode1
Vertex-reinforced Random Walk for Network EmbeddingCode0
Bilinear Graph Neural Network with Neighbor InteractionsCode1
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs0
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention0
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Graph Representation Learning via Graphical Mutual Information MaximizationCode1
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification0
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network EmbeddingCode1
Which way? Direction-Aware Attributed Graph EmbeddingCode0
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised ClassificationCode0
Graph Ordering: Towards the Optimal by Learning0
Node Masking: Making Graph Neural Networks Generalize and Scale Better0
Graph Inference Learning for Semi-supervised Classification0
Document Network Projection in Pretrained Word Embedding Space0
Graph-Bert: Only Attention is Needed for Learning Graph RepresentationsCode1
Graph-FCN for image semantic segmentation0
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding.Code1
Robust Graph Representation Learning via Neural SparsificationCode0
Unifying Graph Convolutional Networks as Matrix Factorization0
Multi-Label Graph Convolutional Network Representation Learning0
Neural Subgraph Isomorphism CountingCode0
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Expanding Label Sets for Graph Convolutional Networks0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis0
Sparse Graph Attention NetworksCode0
Continuous Graph Neural NetworksCode0
Gaussian Embedding of Large-scale Attributed GraphsCode0
Graph Agreement Models for Semi-Supervised Learning0
SGAS: Sequential Greedy Architecture SearchCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NodeNetAccuracy80.09Unverified
2SplineCNNAccuracy79.2Unverified
3PathNetAccuracy (%)77.98Unverified
43ferenceAccuracy76.33Unverified
5MMAAccuracy76.3Unverified
6PPNPAccuracy75.83Unverified
7CoLinkDistAccuracy75.79Unverified
8CoLinkDistMLPAccuracy75.77Unverified
9APPNPAccuracy75.73Unverified
10CleoraAccuracy75.7Unverified
#ModelMetricClaimedVerifiedStatus
1NodeNetAccuracy90.21Unverified
2CoLinkDistAccuracy89.58Unverified
3CoLinkDistMLPAccuracy89.53Unverified
4PathNetAccuracy (%)88.92Unverified
53ferenceAccuracy88.9Unverified
6SplineCNNAccuracy88.88Unverified
7LinkDistAccuracy88.86Unverified
8LinkDistMLPAccuracy88.79Unverified
9PairEF188.57Unverified
10GCN + MixupAccuracy87.9Unverified
#ModelMetricClaimedVerifiedStatus
1LinkDistAccuracy88.24Unverified
2CoLinkDistAccuracy87.89Unverified
33ferenceAccuracy87.78Unverified
4LinkDistMLPAccuracy87.58Unverified
5CoLinkDistMLPAccuracy87.54Unverified
6CleoraAccuracy86.8Unverified
7NodeNetAccuracy86.8Unverified
8MMAAccuracy85.8Unverified
9GResNet(GAT)Accuracy85.5Unverified
10DifNetAccuracy85.1Unverified
#ModelMetricClaimedVerifiedStatus
1OGCAccuracy77.5Unverified
2LDS-GNNAccuracy75Unverified
3CPF-tra-APPNPAccuracy74.6Unverified
4G3NNAccuracy74.5Unverified
5GGCMAccuracy74.2Unverified
6GEMAccuracy74.2Unverified
7Truncated KrylovAccuracy73.86Unverified
8SSGCAccuracy73.6Unverified
9OKDEEMAccuracy73.53Unverified
10GCNIIAccuracy73.4Unverified
#ModelMetricClaimedVerifiedStatus
1OGCAccuracy83.4Unverified
2CPF-tra-GCNIIAccuracy83.2Unverified
3DSGCNAccuracy81.9Unverified
4SuperGAT MXAccuracy81.7Unverified
5Truncated KrylovAccuracy81.7Unverified
6G-APPNPAccuracy80.95Unverified
7GGCMAccuracy80.8Unverified
8GCN(predicted-targets)Accuracy80.42Unverified
9SSGCAccuracy80.4Unverified
10GCNIIAccuracy80.2Unverified
#ModelMetricClaimedVerifiedStatus
1OGCAccuracy86.9Unverified
2GCN-TVAccuracy86.3Unverified
3GCNIIAccuracy85.5Unverified
4CPF-ind-APPNPAccuracy85.3Unverified
5AIR-GCNAccuracy84.7Unverified
6H-GCNAccuracy84.5Unverified
7G-APPNPAccuracy84.31Unverified
8SuperGAT MXAccuracy84.3Unverified
9DSGCNAccuracy84.2Unverified
10LDS-GNNAccuracy84.1Unverified