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 301350 of 1860 papers

TitleStatusHype
Diffusion Mechanism in Residual Neural Network: Theory and ApplicationsCode1
CrossWalk: Fairness-enhanced Node Representation LearningCode1
WGCN: Graph Convolutional Networks with Weighted Structural FeaturesCode1
LGD-GCN: Local and Global Disentangled Graph Convolutional NetworksCode1
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud DetectionCode1
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural NetworksCode1
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural NetworksCode1
New Benchmarks for Learning on Non-Homophilous GraphsCode1
Bag of Tricks for Node Classification with Graph Neural NetworksCode1
OGB-LSC: A Large-Scale Challenge for Machine Learning on GraphsCode1
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural NetworksCode1
Graph Neural Networks Inspired by Classical Iterative AlgorithmsCode1
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural NetworksCode1
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue GraphsCode1
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation FrameworkCode1
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-LearningCode1
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced DataCode1
MagNet: A Neural Network for Directed GraphsCode1
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node ClassificationCode1
Fast Graph Learning with Unique Optimal SolutionsCode1
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation TechniqueCode1
Evaluating Node Embeddings of Complex NetworksCode1
Topological Graph Neural NetworksCode1
HDMI: High-order Deep Multiplex InfomaxCode1
A Unified Lottery Ticket Hypothesis for Graph Neural NetworksCode1
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional NetworksCode1
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural NetworksCode1
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
Generating a Doppelganger Graph: Resembling but DistinctCode1
Membership Inference Attack on Graph Neural NetworksCode1
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node EmbeddingsCode1
GraphHop: An Enhanced Label Propagation Method for Node ClassificationCode1
Beyond Low-frequency Information in Graph Convolutional NetworksCode1
Simple Spectral Graph ConvolutionCode1
Adaptive Graph Diffusion NetworksCode1
A pipeline for fair comparison of graph neural networks in node classification tasksCode1
A Generalization of Transformer Networks to GraphsCode1
Graph Stochastic Neural Networks for Semi-supervised LearningCode1
Graph Random Neural Networks for Semi-Supervised Learning on GraphsCode1
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural NetworkCode1
Learning to Drop: Robust Graph Neural Network via Topological DenoisingCode1
Two-stage Training of Graph Neural Networks for Graph ClassificationCode1
GripNet: Graph Information Propagation on Supergraph for Heterogeneous GraphsCode1
Graph Contrastive Learning with Adaptive AugmentationCode1
Combining Label Propagation and Simple Models Out-performs Graph Neural NetworksCode1
Personalised Meta-path Generation for Heterogeneous GNNsCode1
Pathfinder Discovery Networks for Neural Message PassingCode1
Uncertainty Aware Semi-Supervised Learning on Graph DataCode1
On the Equivalence of Decoupled Graph Convolution Network and Label PropagationCode1
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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
4Truncated KrylovAccuracy81.7Unverified
5SuperGAT MXAccuracy81.7Unverified
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