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Python package built to ease deep learning on graph, on top of existing DL frameworks.

Home Page: http://dgl.ai

License: Apache License 2.0

Shell 0.27% C++ 22.93% Python 62.51% C 0.28% Cuda 6.08% CMake 0.59% Batchfile 0.05% Jupyter Notebook 7.07% Cython 0.21%

dgl's Introduction

I am a Ph.D. Candidate in FPGA/Parallel Computing Lab at University of Southern California, advised by Prof. Prasanna. I'm interested in Graph Neural Networks, Hardware Accelerators/HPC, and Heterogeneous Computing. I have published several papers in HPC-, ASIC-, and FPGA-related conferences in the past three years. Please refer to my personal website for more details.

In addition to research interests, I'm also interested in video editing and photography. Check out my vlogs and photos.

I completed my undergraduate study in National Taiwan University (NTU), majored in Electrical Engineering. I was also an Electrical Engineering Intern at Hewlett-Packard (HP), Taipei.

dgl's People

Contributors

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