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Search: dgl
Page 4
Showing 10 results from 130
basiralab/DGL
GitHub Jupyter NotebookDeep Graph-Based Learning Course (ICL, Computing)
External source
GitHub
eaglelab-zju/DGLD
GitHub PythonDeep Graph Outlier Detection
External source
GitHub
hengruizhang98/mvgrl
GitHub PythonDGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'
External source
GitHub
myeonghak/DGL-tutorial
GitHub Jupyter Notebook๊ทธ๋ํ ๋ฅ๋ฌ๋ ๋ผ์ด๋ธ๋ฌ๋ฆฌ DGL ์ฝ๊ฒ ๋ฐฐ์ฐ๊ธฐ
External source
GitHub
shionhonda/gae-dgl
GitHub Python MIT LicenseReimplementation of Graph Autoencoder by Kipf & Welling with DGL.
External source
GitHub
sllying/AliceInCradle_X_DGLAB
GitHub C# MIT LicenseๅบไบBepInExๅผๅ็Unity MOD,ไฝฟ็จDG-Lab-Coyote-Game-Hubๆไพ็APIๅฎ็ฐ็ฑไธฝไธ็ๆ็ฏฎไธ้็ผ่ๅจMODใ๏ผ
External source
GitHub
OpenDGLab/OpenDGLab-Desktop
GitHub C++ GNU Affero General Public License v3.0OpenDGLab ๆก้ขๅฎขๆท็ซฏ
External source
GitHub
xiezhq-hermann/graphiler
GitHub Cuda Apache License 2.0Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into efficient execution plans.
External source
GitHub
huzongxiang/MatDGL
GitHub Python MIT LicenseMatDGL is a neural network package that allows researchers to train custom models for crystal modeling tasks. It aims to accelerate the research and application of material science.
External source
GitHub
waittim/graph-fraud-detection
GitHub Jupyter Notebook MIT LicenseColab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.
External source
GitHub
10 results on this page ยท 130 total found
Showing first 130 accessible GitHub results.