Graph-Convolution-on-Structured-Documents
deep_gcns_torch
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Graph-Convolution-on-Structured-Documents | deep_gcns_torch | |
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1 | 1 | |
141 | 1,104 | |
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0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Python | Python | |
- | MIT License |
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Graph-Convolution-on-Structured-Documents
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Tips on running github projects without specific setup instructions?
I am trying to run this python project but I have hard time even installing requirements.txt And actually I don't have any more ideas what to do to run in properly. I can imagine that situation like this one happens more often and I would like to receive some tips on what to do in such situations in general.
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
What are some alternatives?
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fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
GraphMixerNetworks - Official Implementation of Graph Mixer Networks
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Ringer-Client - Ringer is a new messaging app for windows. Its currently in beta but lets work together to make it better. The code here is snapshot code so it might not work as intended. To get the latest stable build pls download the installer.
Bi-Real-net - Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
nasa_impacts - Plotly visualizations of NASA's IMPACTS snow storm study program