deep_gcns_torch
Bi-Real-net
| deep_gcns_torch | Bi-Real-net | |
|---|---|---|
| 1 | 2 | |
| 1,118 | 170 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | about 3 years ago | |
| Python | C++ | |
| MIT License | - |
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deep_gcns_torch
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[R] Graph Convolutional Networks in Videos and 3D Point Clouds - Dr. Ali Thabet - Link to free zoom lecture by the author in comments
DeepGCNs: Can GCNs Go as Deep as CNNs? (ICCV 2019) Paper page: https://www.deepgcns.org/ Git: https://github.com/lightaime/deep_gcns_torch
Bi-Real-net
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[R] Graph Convolutional Networks in Videos and 3D Point Clouds - Dr. Ali Thabet - Link to free zoom lecture by the author in comments
G-TAD: Sub-Graph Localization for Temporal Action Detection (CVPR 2020) Paper: https://www.deepgcns.org/app/g-tad Code: https://github.com/liuzechun/Bi-Real-net
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[R] Towards the Limits of Binary Neural Networks - Series of Works (CVPR2020, ECCV2020) - Link to free zoom lecture by the author in comments
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm (ECCV2018) Paper: https://arxiv.org/abs/1808.00278 Code: https://github.com/liuzechun/Bi-Real-net
What are some alternatives?
pytorch_geometric - Graph Neural Network Library for PyTorch
ReActNet - ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
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GraphMixerNetworks - Official Implementation of Graph Mixer Networks
graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.
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