dgl
deep_gcns_torch
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| dgl | deep_gcns_torch | |
|---|---|---|
| 4 | 1 | |
| 12,999 | 1,104 | |
| 1.5% | - | |
| 9.9 | 0.0 | |
| 4 days ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dgl
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
For graph embeddings, there's quite a few. I'd recommend this one, but there's also this one (disclaimer: I'm the author) or this one, more of a DGL library.
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Detecting Out-of-Distribution Datapoints via Embeddings or Predictions
For trees/graphs, you’ll want a neural net that can take these as inputs for which I’m not sure a standard library exists. One recommendation is to checkout dgl: https://github.com/dmlc/dgl
- Beyond Message Passing: A Physics-Inspired Paradigm for Graph Neural Networks
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[D] Convenient libs to use for new research project at the intersection of GNN and RL.
The best pkg for GCN - https://github.com/dmlc/dgl
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?
pytorch_geometric - Graph Neural Network Library for PyTorch
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
GraphMixerNetworks - Official Implementation of Graph Mixer Networks
torchdrug - A powerful and flexible machine learning platform for drug discovery
graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.
spektral - Graph Neural Networks with Keras and Tensorflow 2.
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.
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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
deodel - A mixed attributes predictive algorithm implemented in Python.
nasa_impacts - Plotly visualizations of NASA's IMPACTS snow storm study program