Tutorial: PyTorch Geometric (Jianxuan You, Rex Ying)
LOGML Summer School 2022
Tutorial Title: PyTorch Geometric
Speaker Bio: Jiaxuan You is currently a founding member at Kumo AI. He obtained his CS PhD from Stanford University, advised by Prof. Jure Leskovec. His research focuses on empowering deep learning with graph-structured data. He has published more than 15 publications in NeurIPS, ICML, ICLR, WWW, KDD, regarding graph machine learning. Jiaxuan is the creator of GraphGym and a main contributor of PyG, which are popular open-source libraries for graph machine learning. His research and works significantly contribute to Kumo AI, a leading startup that provides predictive capabilities on modern data stack through the power of graph learning. He has served as a program committee member of NeurIPS, ICML, ICLR, AAAI, KDD, WWW, IJCAI for more than 20 times. Jiaxuan has co-organized the Stanford Graph Learning Workshop in 2021, which attracted over 7000 virtual attendees.
Видео Tutorial: PyTorch Geometric (Jianxuan You, Rex Ying) канала LOGML Summer School
Tutorial Title: PyTorch Geometric
Speaker Bio: Jiaxuan You is currently a founding member at Kumo AI. He obtained his CS PhD from Stanford University, advised by Prof. Jure Leskovec. His research focuses on empowering deep learning with graph-structured data. He has published more than 15 publications in NeurIPS, ICML, ICLR, WWW, KDD, regarding graph machine learning. Jiaxuan is the creator of GraphGym and a main contributor of PyG, which are popular open-source libraries for graph machine learning. His research and works significantly contribute to Kumo AI, a leading startup that provides predictive capabilities on modern data stack through the power of graph learning. He has served as a program committee member of NeurIPS, ICML, ICLR, AAAI, KDD, WWW, IJCAI for more than 20 times. Jiaxuan has co-organized the Stanford Graph Learning Workshop in 2021, which attracted over 7000 virtual attendees.
Видео Tutorial: PyTorch Geometric (Jianxuan You, Rex Ying) канала LOGML Summer School
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