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 15011550 of 1860 papers

TitleStatusHype
A Self-Attention Network based Node Embedding ModelCode1
Connecting Graph Convolutional Networks and Graph-Regularized PCA0
Graph Neural Networks in TensorFlow and Keras with SpektralCode2
Graph BackdoorCode1
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective DesignsCode1
Backdoor Attacks to Graph Neural NetworksCode1
Quantifying Challenges in the Application of Graph Representation Learning0
GCC: Graph Contrastive Coding for Graph Neural Network Pre-TrainingCode1
NodeNet: A Graph Regularised Neural Network for Node Classification0
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification0
Adaptive Universal Generalized PageRank Graph Neural NetworkCode1
Implicit Kernel Attention0
Data Augmentation for Graph Neural NetworksCode1
Locally Private Graph Neural NetworksCode1
Little Ball of Fur: A Python Library for Graph Sampling0
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs0
Graph Representation Learning Network via Adaptive SamplingCode0
Understanding Graph Neural Networks from Graph Signal Denoising PerspectivesCode1
Bayesian Graph Neural Networks with Adaptive Connection SamplingCode1
Deep Graph Contrastive Representation LearningCode1
Network Together: Node Classification via Cross-Network Deep Network EmbeddingCode1
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data0
Learning Combinatorial Solver for Graph Matching0
Non-Local Graph Neural NetworksCode1
A Process for the Evaluation of Node Embedding Methods in the Context of Node Classification0
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification0
Adversarial Attack on Hierarchical Graph Pooling Neural Networks0
Graph Random Neural Network for Semi-Supervised Learning on GraphsCode1
Understanding Negative Sampling in Graph Representation LearningCode1
The Effects of Randomness on the Stability of Node EmbeddingsCode0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric ModelsCode1
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey0
Semi-supervised Hypergraph Node Classification on Hypergraph Line ExpansionCode1
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack0
SIGN: Scalable Inception Graph Neural NetworksCode1
ktrain: A Low-Code Library for Augmented Machine LearningCode2
Principal Neighbourhood Aggregation for Graph NetsCode1
HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs0
A Graph Convolutional Network Composition Framework for Semi-supervised Classification0
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN0
A Unified Non-Negative Matrix Factorization Framework for Semi-Supervised Learning on GraphsCode0
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNNCode1
Temporal Network Representation Learning via Historical Neighborhoods AggregationCode0
Revisiting Over-smoothing in Deep GCNs0
Progressive Graph Convolutional Networks for Semi-Supervised Node ClassificationCode0
A Collective Learning Framework to Boost GNN Expressiveness0
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural NetworksCode1
End-to-End Entity Classification on Multimodal Knowledge GraphsCode0
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional NetworksCode1
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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
6NodeNetAccuracy86.8Unverified
7CleoraAccuracy86.8Unverified
8MMAAccuracy85.8Unverified
9GResNet(GAT)Accuracy85.5Unverified
10TransGNN1:1 Accuracy85.1Unverified
#ModelMetricClaimedVerifiedStatus
1OGCAccuracy77.5Unverified
2LDS-GNNAccuracy75Unverified
3CPF-tra-APPNPAccuracy74.6Unverified
4G3NNAccuracy74.5Unverified
5GEMAccuracy74.2Unverified
6GGCMAccuracy74.2Unverified
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