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 14011450 of 1860 papers

TitleStatusHype
Combining Label Propagation and Simple Models Out-performs Graph Neural NetworksCode1
Personalised Meta-path Generation for Heterogeneous GNNsCode1
Deep Kernel Supervised Hashing for Node Classification in Structural Networks0
Co-embedding of Nodes and Edges with Graph Neural Networks0
Uncertainty Aware Semi-Supervised Learning on Graph DataCode1
Pathfinder Discovery Networks for Neural Message PassingCode1
Graph Geometry Interaction LearningCode1
On the Equivalence of Decoupled Graph Convolution Network and Label PropagationCode1
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs0
Should Graph Convolution Trust Neighbors? A Simple Causal Inference MethodCode1
Line Graph Neural Networks for Link PredictionCode1
Bayesian Attention ModulesCode1
Anisotropic Graph Convolutional Network for Semi-supervised Learning0
Robust Optimization as Data Augmentation for Large-scale GraphsCode1
Meta-path Free Semi-supervised Learning for Heterogeneous Networks0
InstantEmbedding: Efficient Local Node Representations0
Factorizable Graph Convolutional NetworksCode1
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models0
Inductive Entity Representations from Text via Link PredictionCode1
Directional Graph NetworksCode1
NodeSig: Binary Node Embeddings via Random Walk Diffusion0
Spectral Embedding of Graph Networks0
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks0
Multi-hop Attention Graph Neural NetworkCode1
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization TheoryCode0
Semi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side InformationCode0
Revisiting Graph Neural Networks for Link Prediction0
Graph Joint Attention Networks0
PanRep: Universal node embeddings for heterogeneous graphs0
Inductive Graph Embeddings through Locality Encodings0
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective0
Learning Graph Normalization for Graph Neural NetworksCode1
Streaming Graph Neural Networks via Continual Learning0
Force2Vec: Parallel force-directed graph embeddingCode1
Layer-stacked Attention for Heterogeneous Network Embedding0
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learningCode1
CatGCN: Graph Convolutional Networks with Categorical Node FeaturesCode0
Community detection in networks using graph embeddings0
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge AggregationCode0
Understanding Coarsening for Embedding Large-Scale GraphsCode1
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge GraphsCode0
SNoRe: Scalable Unsupervised Learning of Symbolic Node RepresentationsCode1
Hierarchical Message-Passing Graph Neural NetworksCode1
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised ClassificationCode1
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingCode0
LFGCN: Levitating over Graphs with Levy Flights0
Rethinking Graph Regularization for Graph Neural NetworksCode1
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute InformationCode1
Beyond Observed Connections : Link InjectionCode0
Mutual Teaching for 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
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