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 13011350 of 1860 papers

TitleStatusHype
Generalized Equivariance and Preferential Labeling for GNN Node ClassificationCode0
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
Adversarial Attack on Network Embeddings via Supervised Network PoisoningCode0
A Statistical Relational Approach to Learning Distance-based GCNs0
A Unified Lottery Ticket Hypothesis for Graph Neural NetworksCode1
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural NetworksCode1
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional NetworksCode1
LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information NetworksCode0
Wasserstein Graph Neural Networks for Graphs with Missing Attributes0
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
Learning Graph Representations0
Infant Cry Classification with Graph Convolutional Networks0
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection0
Calibrating and Improving Graph Contrastive LearningCode0
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
Generating a Doppelganger Graph: Resembling but DistinctCode1
NEMR: Network Embedding on Metric of Relation0
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks0
Edge-Featured Graph Attention Network0
GraphAttacker: A General Multi-Task GraphAttack FrameworkCode0
Membership Inference Attack on Graph Neural NetworksCode1
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms0
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network0
Variational Embeddings for Community Detection and Node RepresentationCode0
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node EmbeddingsCode1
GraphHop: An Enhanced Label Propagation Method for Node ClassificationCode1
A Survey on Embedding Dynamic Graphs0
Topology-aware Tensor Decomposition for Meta-graph Learning0
Beyond Low-frequency Information in Graph Convolutional NetworksCode1
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network0
Hypergraph Neural Networks for Hypergraph MatchingCode0
Towards Robust Graph Neural Networks against Label Noise0
Incremental Learning on Growing Graphs0
Graph View-Consistent Learning Network0
VEM-GCN: Topology Optimization with Variational EM for Graph Convolutional Networks0
Graph Pooling by Edge Cut0
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Link RewiringCode0
FASG: Feature Aggregation Self-training GCN for Semi-supervised Node Classification0
Bridging Graph Network to Lifelong Learning with Feature Interaction0
Graph Structural Aggregation for Explainable Learning0
Iterated graph neural network system0
ColdExpand: Semi-Supervised Graph Learning in Cold Start0
Teleport Graph Convolutional Networks0
Towards Powerful Graph Neural Networks: Diversity Matters0
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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