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 17011750 of 1860 papers

TitleStatusHype
Deep Hashing for Signed Social Network Embedding0
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks0
HATS: A Hierarchical Graph Attention Network for Stock Movement PredictionCode0
Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings0
Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks0
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling0
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare AnalyticsCode0
k-hop Graph Neural NetworksCode0
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification0
Fast Haar Transforms for Graph Neural Networks0
Label-Aware Graph Convolutional Networks0
Dimensional Reweighting Graph Convolutional NetworksCode0
Improving Attention Mechanism in Graph Neural Networks via Cardinality PreservationCode0
Structure fusion based on graph convolutional networks for semi-supervised classification0
Certifiable Robustness and Robust Training for Graph Convolutional NetworksCode0
Graph Star Net for Generalized Multi-Task LearningCode0
ANAE: Learning Node Context Representation for Attributed Network Embedding0
Regional based query in graph active learningCode0
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank0
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach0
Graph Embedding on Biomedical Networks: Methods, Applications, and EvaluationsCode0
Heterogeneous network approach to predict individuals' mental health0
Attacking Graph Convolutional Networks via Rewiring0
Topology Attack and Defense for Graph Neural Networks: An Optimization PerspectiveCode0
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional NetworksCode0
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationCode0
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples0
Exploiting Edge Features for Graph Neural Networks0
Graph Learning Network: A Structure Learning AlgorithmCode0
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs0
Graph Neural Networks Exponentially Lose Expressive Power for Node ClassificationCode0
Graph Attention Auto-EncodersCode0
Meta-GNN: On Few-shot Node Classification in Graph Meta-learningCode0
Relation Structure-Aware Heterogeneous Information Network Embedding0
Graph U-NetsCode0
Network Representation Learning: Consolidation and Renewed BearingCode0
Few-shot Classification on Graphs with Structural Regularized GCNs0
CGNF: Conditional Graph Neural Fields0
Graph Convolutional Networks with EigenPoolingCode0
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood MixingCode0
Advancing GraphSAGE with A Data-Driven Node SamplingCode0
Robust Graph Data Learning via Latent Graph Convolutional Representation0
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification0
GraphNAS: Graph Neural Architecture Search with Reinforcement LearningCode0
Compositional Network Embedding0
Semi-Supervised Graph Classification: A Hierarchical Graph PerspectiveCode0
Topological based classification of paper domains using graph convolutional networks0
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks0
DeepGCNs: Can GCNs Go as Deep as CNNs?Code0
Quantum-based subgraph convolutional neural networks0
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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