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- DGL - Deep Graph Library
DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others
- Deglycyrrhizinated Licorice (DGL) for Acid Reflux: Is It Safe?
Deglycyrrhizinated licorice (DGL) is a form of licorice that people have altered for safer consumption Here's what you should know about DGL and acid reflux
- DGL for acid reflux: Benefits, risks, and other options
Deglycyrrhizinated licorice (DGL) is licorice that does not contain glycyrrhizic acid Some people think DGL can reduce acid reflux, but the evidence is inconclusive
- Dgl | Anaconda. org
DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs DGL is framework agnostic, meaning if a deep graph model is a component of an end-to-end application, the rest of the logics can be implemented in any major frameworks, such as PyTorch, Apache MXNet or TensorFlow
- Deep Graph Library - Deep Graph Library
All DGLGraphs are directed To represent an undirected graph, you need to create edges for both directions dgl to_bidirected can be helpful, which… Will DGL support 50 series GPUs? How to split data on a heterogeneous graph for multi-GPU training in DGL? How to consider edge features inside a heterogeneous graph?
- DGL Overview - NVIDIA Docs
The NVIDIA® Deep Learning SDK accelerates widely-used deep learning frameworks such as DGL DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs
- Releases · dmlc dgl - GitHub
We're thrilled to announce the release of DGL 2 2 1 🎉🎉🎉 The supported PyTorch versions are 2 1 0 1 2, 2 2 0 1 2, 2 3 0 See install command here MiniBatch in GraphBolt is refactored: seed_nodes and node_paris are replaced with unified seeds attribute through out the pipeline Refer to the latest examples for more details by @yxy235
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