1st High Performance Graph Data Mining and Machine Learning workshop
18th November 2017 | IEEE ICDM 2017 conference, New Orleans, USA


03:15 PM   03:20 PM   Welcome speech
03:20 PM   03:50 PM   Keynote 1 - Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges,Leman Akoglu (Carnegie Mellon University, USA)
03:50 PM   04:10 PM   Full Paper - Review of Graph Processing Frameworks, Siddharth Bhatia and Rajiv Kumar (BITS Pilani, India)
04:10 PM   04:40 PM   Keynote 2 - High Performance Graph Data Management and Mining with X10, Miyuru Dayarathna (WSO2 Inc., USA / JST CREST, Japan)
04:40 PM   04:55 PM   Short paper - Image Analysis using Convolutional Neural Networks for Modeling Fracture Propagation, Robyn L. Miller, Bryan Moore, Hari Viswanathan, and Gowri Srinivasan (Los Alamos National Laboratory, USA)
04:55 PM   05:25 PM   Keynote 3 - Inferring, Summarizing and Mining Multi-source Graph Data, Danai Koutra (University of Michigan, Ann Arbor, USA)
05:25 PM   05:55 PM   Keynote 4 - Inside the Atoms: Mining a Network of Networks and Beyond, Hanghang Tong (Arizona State University, USA)
05:55 PM   06:00 PM   Final Remarks and Open Discussions