OpenCodePapers

node-classification-on-cora-with-public-split

Node Classification
Dataset Link
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
Click a sortable column header to sort.
PaperCodeAccuracyModelNameReleaseDate
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited✓ Link86.9%OGC2023-09-24
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals✓ Link86.3%GCN-TV2023-07-01
Simple and Deep Graph Convolutional Networks✓ Link85.5%GCNII2020-07-04
Graph Random Neural Network for Semi-Supervised Learning on Graphs✓ Link85.4 ± 0.4GRAND2020-05-22
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework✓ Link85.3%CPF-ind-APPNP2021-03-04
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification✓ Link85.1 ± 0.7GCN2024-06-13
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction✓ Link84.7%AIR-GCN2019-11-05
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification✓ Link84.5%H-GCN2019-02-13
Towards Deeper Graph Neural Networks✓ Link84.4 ± 0.5DAGNN (Ours)2020-07-18
Pre-train and Learn: Preserve Global Information for Graph Neural Networks✓ Link84.31%G-APPNP2019-10-27
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision✓ Link84.3%SuperGAT MX2022-04-11
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks✓ Link84.2%DSGCN2020-03-26
Learning Discrete Structures for Graph Neural Networks✓ Link84.1%LDS-GNN2019-03-28
GraphMix: Improved Training of GNNs for Semi-Supervised Learning✓ Link83.94 ± 0.57GraphMix2019-09-25
GraphMix: Improved Training of GNNs for Semi-Supervised Learning✓ Link83.94 ± 0.57GraphMix (GCN)2019-09-25
Data Augmentation for Graph Neural Networks✓ Link83.6 ± 0.5%GCN+GAugO2020-06-11
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited✓ Link83.6%GGCM2023-09-24
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks✓ Link83.26%Snowball (linear)2019-06-05
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs✓ Link83.26 ± 0.69%GAT+PGN2023-06-15
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks✓ Link83.19%Snowball (tanh)2019-06-05
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks✓ Link83.16%Truncated Krylov2019-06-05
Graph Entropy Minimization for Semi-supervised Node Classification✓ Link83.05%GEM2023-05-31
Graph Attention Networks✓ Link83.0 ± 0.7%GAT2017-10-30
A Flexible Generative Framework for Graph-based Semi-supervised Learning✓ Link82.9%G3NN2019-05-26
Optimization of Graph Neural Networks with Natural Gradient Descent✓ Link82.84 ± 0.87%SSP2020-08-21
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link81.39%CoLinkDist2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link81.19%CoLinkDistMLP2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link81.05%LinkDist2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link80.79%LinkDistMLP2021-06-16
LanczosNet: Multi-Scale Deep Graph Convolutional Networks✓ Link80.4 ± 1.1AdaLanczosNet2019-01-06
Diffusion-Convolutional Neural Networks✓ Link79.7%DCNN2015-11-06
LanczosNet: Multi-Scale Deep Graph Convolutional Networks✓ Link79.5 ± 1.8LanczosNet2019-01-06
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering✓ Link78.0%ChebyNet2016-06-30
Gated Graph Sequence Neural Networks✓ Link77.6%GGNN2015-11-17
Convolutional Networks on Graphs for Learning Molecular Fingerprints✓ Link74.6%GCN-FP2015-09-30
Inductive Representation Learning on Large Graphs✓ Link74.5%GraphSAGE2017-06-07
Check out how to contribute new results.