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 551600 of 1860 papers

TitleStatusHype
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification0
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network0
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching0
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection0
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges0
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs0
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network0
Anisotropic Graph Convolutional Network for Semi-supervised Learning0
Graph Joint Attention Networks0
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation0
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing0
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding0
Beyond the Known: Novel Class Discovery for Open-world Graph Learning0
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications0
Directed hypergraph neural network0
Directed Homophily-Aware Graph Neural Network0
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks0
DINE: A Framework for Deep Incomplete Network Embedding0
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data0
Graph Information Matters: Understanding Graph Filters from Interaction Probability0
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing0
Dimensional Reweighting Graph Convolution Networks0
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs0
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs0
Diffusion Probabilistic Models for Structured Node Classification0
Beyond Homophily with Graph Echo State Networks0
Feature Transportation Improves Graph Neural Networks0
Label Efficient Regularization and Propagation for Graph Node Classification0
Graph Inference Learning for Semi-supervised Classification0
GraphiT: Efficient Node Classification on Text-Attributed Graphs with Prompt Optimized LLMs0
Graph Neural Aggregation-diffusion with Metastability0
Diffusion Based Network Embedding0
GraphGAN: Generating Graphs via Random Walks0
Better Schedules for Low Precision Training of Deep Neural Networks0
A Differential Geometric View and Explainability of GNN on Evolving Graphs0
GISExplainer: On Explainability of Graph Neural Networks via Game-theoretic Interaction Subgraphs0
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks0
GraphFM: A Scalable Framework for Multi-Graph Pretraining0
Graph-FCN for image semantic segmentation0
Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory0
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs0
GraphFM: Improving Large-Scale GNN Training via Feature Momentum0
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols0
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks0
Analysis of Corrected Graph Convolutions0
Detecting Topology Attacks against Graph Neural Networks0
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach0
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding0
Graph-Graph Similarity Network0
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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
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