Stars
70
Forks
13
Language
Python
Last Updated
Feb 21, 2024
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
Python | 2537 | Graph Attention Networks (https://arxiv.org/abs/1710.10903) | Oct 17, 2022 | |
Python | 5 | [DMKD-ECMLPKDD] Hierarchical Message-Passing Graph Neural Networks (https://arxiv.org/abs/2009.03717) | Nov 16, 2022 | |
Jupyter Notebook | 65 | Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437) | Oct 06, 2022 | |
Python | 73 | Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779) | Oct 08, 2022 | |
Python | 5 | FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing https://arxiv.org/abs/2201.03681 | Feb 04, 2022 | |
None | 4 | Pytorch implementation of GraphRec. Graph Neural Networks for Social Recommendation https://arxiv.org/abs/1902.07243 | Feb 01, 2021 | |
Python | 155 | Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112 | Oct 17, 2022 | |
Python | 36 | Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch) | Apr 27, 2023 | |
Python | 81 | Hybrid Code Networks https://arxiv.org/abs/1702.03274 | Feb 08, 2022 | |
Python | 49 | Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484 | May 05, 2023 | |
Lua | 233 | Code for Structured Attention Networks https://arxiv.org/abs/1702.00887 | May 19, 2022 | |
Python | 8 | Code for "Improving Noise Tolerance of Mixed-Signal Neural Networks" https://arxiv.org/abs/1904.01705 | Mar 07, 2023 | |
Python | 7 | Paper link: https://arxiv.org/abs/2001.01431 | Aug 11, 2022 | |
Python | 3 | Graph Generative Adversarial Networks for Sparse Data Generation https://arxiv.org/abs/2012.00173 | Jan 19, 2022 | |
Python | 51 | Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) … | Sep 08, 2022 | |
Python | 108 | pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831 | Aug 07, 2022 | |
Python | 257 | [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993) | Oct 12, 2022 | |
Jupyter Notebook | 151 | Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626 | Oct 10, 2022 | |
Jupyter Notebook | 158 | Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850 | Aug 24, 2022 | |
Python | 87 | Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298 | Sep 19, 2022 | |
Python | 35 | Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework | Oct 09, 2022 | |
Python | 3 | [WIP] Implementation of Biologically-Inspired Spatial Neural Networks (https://arxiv.org/abs/1910.02776) | May 08, 2020 | |
Python | 3 | Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088 | Aug 13, 2021 | |
Python | 52 | Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088 | May 30, 2022 | |
Jupyter Notebook | 6 | Carcinogenicity prediction with graph neural networks | Jan 13, 2023 | |
Python | 475 | Deep Graph Infomax (https://arxiv.org/abs/1809.10341) | Oct 17, 2022 | |
Python | 136 | Discovering Neural Wirings (https://arxiv.org/abs/1906.00586) | Jun 20, 2022 | |
Python | 19 | PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575) | Aug 05, 2022 | |
Python | 337 | Code for https://arxiv.org/abs/1611.10080 | Oct 17, 2022 | |
Shell | 139 | Code for https://arxiv.org/abs/1703.05693 | May 29, 2022 | |
Python | 141 | Code for https://arxiv.org/abs/1810.04622 | Aug 07, 2022 | |
Python | 16 | Code for https://arxiv.org/abs/1712.00254 | Dec 08, 2021 | |
Jupyter Notebook | 8 | The official code repository for "Variational Quanvolutional Neural Networks with enhanced image encoding", https://arxiv.org/abs/2106.07327 | Mar 22, 2023 | |
Python | 99 | A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811 | Sep 26, 2022 | |
Jupyter Notebook | 409 | Graph convolutional neural network for multirelational link prediction | Apr 11, 2023 | |
Jupyter Notebook | 2 | Graph neural networks for movie recommendation (IGMC), link prediction (SEAL) and node classification (HGT) | Apr 05, 2023 | |
Python | 67 | Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729) | Sep 27, 2022 | |
Python | 110 | [CIKM'21] UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation https://arxiv.org/abs/2110.15114 | Apr 27, 2023 | |
Python | 201 | Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071 | Oct 10, 2022 | |
Jupyter Notebook | 10 | Neural Generalized Cross Correlations https://arxiv.org/abs/2208.04654 | Sep 23, 2022 | |
Python | 89 | Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646) | Sep 20, 2022 | |
Python | 3 | This is a repo for re-create the experiment is paper: vector field based neural networks. … | Jul 20, 2022 | |
Python | 23 | Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation https://arxiv.org/abs/1710.07368 | Jun 03, 2021 | |
Python | 22 | Code for paper https://arxiv.org/abs/2102.13186 | Sep 23, 2022 | |
Python | 10 | Reference code for https://arxiv.org/abs/1906.08879 | Oct 13, 2022 | |
Python | 133 | Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neural … | Oct 06, 2022 | |
Python | 5 | Code accompanying https://arxiv.org/abs/1802.02219 | Aug 02, 2022 | |
Python | 14 | Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317 | Dec 13, 2021 | |
Python | 38 | Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph … | Apr 14, 2023 | |
Jupyter Notebook | 2 | Bridging random forests and deep neural networks. Partial implementation of "Neural Random Forests" https://arxiv.org/abs/1604.07143 | Apr 13, 2020 |