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 16011650 of 1860 papers

TitleStatusHype
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
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks0
Self-Enhanced GNN: Improving Graph Neural Networks Using Model OutputsCode0
Investigating Extensions to Random Walk Based Graph Embedding0
Vertex-reinforced Random Walk for Network EmbeddingCode0
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs0
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention0
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification0
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
Graph Inference Learning for Semi-supervised Classification0
Node Masking: Making Graph Neural Networks Generalize and Scale Better0
Document Network Projection in Pretrained Word Embedding Space0
Graph-FCN for image semantic segmentation0
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
Gaussian Embedding of Large-scale Attributed GraphsCode0
Continuous Graph Neural NetworksCode0
Graph Agreement Models for Semi-Supervised Learning0
SGAS: Sequential Greedy Architecture SearchCode0
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network0
Minimal Driver Nodes for Structural Controllability of Large-Scale Dynamical Systems: Node Classification0
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications0
Exponential Family Graph Embeddings0
Heterogeneous Deep Graph InfomaxCode0
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph RepresentationsCode0
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional NetworksCode0
A Hierarchy of Graph Neural Networks Based on Learnable Local Features0
On the choice of graph neural network architecturesCode0
Constant Curvature Graph Convolutional Networks0
A Capsule Network-based Model for Learning Node EmbeddingsCode0
Higher-order Weighted Graph Convolutional Networks0
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network0
Bayesian Graph Convolutional Neural Networks using Node Copying0
Graph Convolutional Networks Meet with High Dimensionality ReductionCode0
Dynamic Graph Embedding via LSTM History Tracking0
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and InteractionCode0
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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