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
GraphReach: Position-Aware Graph Neural Network using Reachability EstimationsCode0
Degree-Quant: Quantization-Aware Training for Graph Neural Networks0
DINE: A Framework for Deep Incomplete Network Embedding0
Multivariate Relations Aggregation Learning in Social Networks0
Directed hypergraph neural network0
Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs0
node2coords: Graph Representation Learning with Wasserstein Barycenters0
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification0
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective0
GraphCL: Contrastive Self-Supervised Learning of Graph Representations0
Are Hyperbolic Representations in Graphs Created Equal?0
Next Waves in Veridical Network Embedding0
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation0
Pre-Trained Models for Heterogeneous Information Networks0
Faster Graph Embeddings via CoarseningCode0
AEGCN: An Autoencoder-Constrained Graph Convolutional NetworkCode0
Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling ApproachCode0
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation0
Graph Clustering with Graph Neural Networks0
Policy-GNN: Aggregation Optimization for Graph Neural NetworksCode0
Non-Parametric Graph Learning for Bayesian Graph Neural Networks0
Connecting Graph Convolutional Networks and Graph-Regularized PCA0
Quantifying Challenges in the Application of Graph Representation Learning0
NodeNet: A Graph Regularised Neural Network for Node Classification0
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification0
Implicit Kernel Attention0
Little Ball of Fur: A Python Library for Graph Sampling0
Graph Representation Learning Network via Adaptive SamplingCode0
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs0
Learning Combinatorial Solver for Graph Matching0
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data0
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
The Effects of Randomness on the Stability of Node EmbeddingsCode0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey0
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack0
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
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
End-to-End Entity Classification on Multimodal Knowledge GraphsCode0
Spectral Graph Attention Network with Fast Eigen-approximation0
Unsupervised Graph Embedding via Adaptive Graph Learning0
Knowledge Graphs and Knowledge Networks: The Story in Brief0
Show:102550
← PrevPage 32 of 38Next →

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
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