OpenCodePapers

node-classification-on-cora

Node Classification
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PaperCodeAccuracyTraining SplitValidation1:1 AccuracyInference Time (ms)ModelNameReleaseDate
Optimization of Graph Neural Networks with Natural Gradient Descent✓ Link90.16% ± 0.59%SSP2020-08-21
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels✓ Link89.48% ± 0.31%SplineCNN2017-11-24
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?89.36% ± 1.26%ACMII-Snowball-32021-09-12
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?88.95% ± 1.04%ACMII-GCN2021-09-12
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?88.83% ± 1.49%ACM-Snowball-22021-09-12
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity✓ Link88.74±0.6%UGT2023-08-18
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs✓ Link88.66 ± 1.38%GAT + SWA2023-06-15
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?88.62% ± 1.22%ACM-GCN2021-09-12
Unifying Graph Convolutional Neural Networks and Label Propagation✓ Link88.5% ± 1.5%GCN-LPA2020-02-17
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link88.24%LinkDist2021-06-16
CN-Motifs Perceptive Graph Neural Networks88.20±1.22%CNMPGNN2021-11-15
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link87.89%CoLinkDist2021-06-16
Inferring from References with Differences for Semi-Supervised Node Classification on Graphs✓ Link87.78%3ference2022-04-11
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link87.58%LinkDistMLP2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link87.54%CoLinkDistMLP2021-06-16
Adaptive Sampling Towards Fast Graph Representation Learning✓ Link87.44% ± 0.0034%AS-GCN2018-09-14
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures✓ Link87.10±1.53CGT2023-12-28
NodeNet: A Graph Regularised Neural Network for Node Classification86.80%NodeNet2020-06-16
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme✓ Link86.80%Cleora2021-02-03
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters✓ Link86% ± 0.4%DFNet-ATT2019-10-24
Multi-Mask Aggregators for Graph Neural Networks✓ Link85.80%MMA2022-11-24
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation✓ Link85.5%GResNet(GAT)2019-09-12
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models✓ Link85.46% ± 0.25%AdaGCN2019-08-14
Tree Decomposed Graph Neural Network✓ Link85.35% ± 0.49%TDGNN2021-08-25
Predict then Propagate: Graph Neural Networks meet Personalized PageRank✓ Link85.29% ± 0.25%YESPPNP2018-10-14
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification✓ Link85.1%DifNet2020-01-22
Predict then Propagate: Graph Neural Networks meet Personalized PageRank✓ Link85.09% ± 0.25%YESAPPNP2018-10-14
Robust Graph Data Learning via Latent Graph Convolutional Representation84.8%GOCN2019-04-26
Graph U-Nets✓ Link84.4% ± 0.6%Graph U-Nets2019-05-11
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation✓ Link84.3%GResNet(GCN)2019-09-12
Graph-Bert: Only Attention is Needed for Learning Graph Representations✓ Link84.3%Graph-Bert2020-01-15
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning✓ Link84.2% ± 1.0%GraphNAS2019-04-22
Learning Discrete Structures for Graph Neural Networks✓ Link84.08 ± 0.4%LDS-GNN2019-03-28
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks✓ Link83.98% ± 0.52%GAT (DGL)2019-09-03
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation✓ Link83.9%GResNet(LoopyNet)2019-09-12
DiffWire: Inductive Graph Rewiring via the Lovász Bound✓ Link83.66%CT-Layer (PE)2022-06-15
Auto-GNN: Neural Architecture Search of Graph Neural Networks83.6% ± 0.3%AGNN-w/o share2019-09-07
Structure fusion based on graph convolutional networks for semi-supervised classification83.5%SPF-GCN2019-07-02
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning✓ Link83.5% ± 0.4%SEGCN2018-09-26
Large-Scale Learnable Graph Convolutional Networks✓ Link83.3%LGCN sub2018-08-12
Structure fusion based on graph convolutional networks for semi-supervised classification83.3%SF-GCN2019-07-02
Deep Graph Contrastive Representation Learning✓ Link83.3% ± 0.4%GRACE2020-06-07
hpGAT: High-order Proximity Informed Graph Attention Network83.1%hpGAT2019-08-28
Graph Attention Networks✓ Link83.0% ± 0.7%fixed 20 per nodeYESGAT2017-10-30
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification✓ Link83.0%N-GCN2018-02-24
Certifiable Robustness and Robust Training for Graph Convolutional Networks✓ Link83%GNN RH-U2019-06-28
A Flexible Generative Framework for Graph-based Semi-supervised Learning✓ Link82.9%20 per node with early stopping setYESG3NN2019-05-26
FIT-GNN: Faster Inference Time for GNNs Using Coarsening✓ Link82.9%0.0019FIT-GNN2024-10-19
Understanding over-squashing and bottlenecks on graphs via curvature✓ Link82.76±0.23%SDRF2021-11-29
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation✓ Link82.6%LoopyNet2019-09-12
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure✓ Link82.6%GraphVAT2019-02-20
Deep Graph Infomax✓ Link82.3 ± 0.6%DGI2018-09-27
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View82.3%GCN + AdaGraph (AG)2019-09-07
Fast Graph Representation Learning with PyTorch Geometric✓ Link82.2% ± 1.5%APPNP2019-03-06
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations✓ Link82.2%SNoRe2020-09-08
Graph Star Net for Generalized Multi-Task Learning✓ Link82.1%GraphStar2019-06-21
Graphite: Iterative Generative Modeling of Graphs✓ Link82.1% ± 0.06%Graphite2018-03-28
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing✓ Link81.9%20 per nodeYESMixHop2019-04-30
Graph Convolutional Neural Networks via Scattering✓ Link81.9%GraphScattering2018-03-31
Graph Wavelet Neural Network✓ Link81.6%GWNN2019-04-12
Semi-Supervised Classification with Graph Convolutional Networks✓ Link81.5%GCN2016-09-09
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering✓ Link81.2%ChebNet2016-06-30
Mutual Teaching for Graph Convolutional Networks✓ Link80.9%MT-GCN2020-09-02
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation✓ Link80.54± 1.35%GLNN2021-10-17
A Capsule Network-based Model for Learning Node Embeddings✓ Link80.53%Caps2NE2019-11-12
Hyperbolic Graph Convolutional Neural Networks✓ Link79.9%HGCN2019-10-28
Multi-Task Graph Autoencoders✓ Link79.00%YESMTGAE2018-11-07
Learning to Make Predictions on Graphs with Autoencoders✓ Link78.30%alpha-LoNGAE2018-02-23
Deeper-GXX: Deepening Arbitrary GNNs76.99±1.13%TGCL+ResNet2021-10-26
Revisiting Semi-Supervised Learning with Graph Embeddings✓ Link75.7%Planetoid*2016-03-29
DiffWire: Inductive Graph Rewiring via the Lovász Bound✓ Link67.96%CT-Layer2022-06-15
Watch Your Step: Learning Node Embeddings via Graph Attention✓ Link67.9%AttentionWalk2017-10-26
Strong Transitivity Relations and Graph Neural Networks✓ Link85.1TransGNN2024-01-01
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