Zheng Zhang (zz) is a Senior Principal Scientist and the founding Director of Amazon Web Service (AWS) Shanghai AI Lab. He was full Global Network Professor of Computer Science in NYU Shanghai, where he also held an affiliated appointment with the Department of Computer Science at the Courant Institute of Mathematical Sciences and with the Center for Data Science at NYU's campus in New York City. He was the founder of the System Research Group and a Principal Researcher and Research Area Manger in Microsoft Research Asia. He holds a PhD from the University of Illinois, Urbana-Champaign, an MS from University of Texas, Dallas, and a BS from Fudan University. Zhang was founder and advisor for various DL platforms such as MXNet, MinPy and most recently DGL, which brings deep learning practice to graph.
Abstract: DGL is one of the leading open-source Graph ML frameworks and we are releasing DGL 1.0. In this talk, I will introduce the new sparse matrix API that dramatically simplified and streamlined user experience for several important GNN model families, including diffusion-based GNNs, hypergraph GNNs, and Graph Transformers, with as much as 64% LoC reduction. I will also share with the community plans for our upcoming new features, including efficient scaling of multi-GPU setting, simplification of message passing APIs, as well as some of our research results on fundamental understanding of GNN with the unfolding perspective.