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Python package built to ease deep learning on graph, on top of existing DL frameworks.
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Latest capture 2026-07-07 03:14
6 captures since 2026-05-22
Stars from baseline +12
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-07 03:14
CMakeLists.txt
c-cpp ecosystem,
0 dependencies
pyproject.toml
python ecosystem,
0 dependencies
dgl_sparse/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
dglgo/setup.py
python ecosystem,
0 dependencies
graphbolt/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
python/setup.py
python ecosystem,
0 dependencies
tutorials/requirements.txt
python ecosystem,
0 dependencies
tensoradapter/pytorch/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
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Nearest indexed repositories by embedding similarity.
StellarGraph - Machine Learning on Graphs
Graph Neural Network Library for PyTorch
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
http://dgl.ai
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