spektral
dgl
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| spektral | dgl | |
|---|---|---|
| 3 | 4 | |
| 2,344 | 12,979 | |
| - | 1.4% | |
| 5.7 | 9.9 | |
| 3 months ago | 7 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
spektral
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New “distilled diffusion models” research can create high quality images 256x faster with step counts as low as 4
But I'm a kamikaze by nature. I'm already learning Keras and Spektral so that I can write GNN's to predict molecular properties.
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[D] GNN Architecture that inputs and outputs both edge and node features?
I'm aware of Spektral: https://graphneural.network/
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tf-based framework for graph neural networks?
Has any library emerged as the clear leader in the TensorFlow Graph Neural Network space? A quick search revealed Spektral.
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
What are some alternatives?
graphtransformer - Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
pytorch_geometric - Graph Neural Network Library for PyTorch
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
deepNOID - deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED
torchdrug - A powerful and flexible machine learning platform for drug discovery
Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics
deep_gcns_torch - Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
DeepAA - make ASCII Art by Deep Learning
deodel - A mixed attributes predictive algorithm implemented in Python.
RecBole - A unified, comprehensive and efficient recommendation library