| Time | Event |
|---|---|
| 8:20~8:30 | Welcome and Introduction Assefaw Gebremedhin (WSU), Abhinav Vishnu (AMD), Antonino Tumeo (PNNL) |
| 8:30~9:30 | Keynote The power of motif counting: Theory, Algorithms, and Applications for Large Graphs Nesreen Ahmed (Intel) |
| 9:30~10:00 | Coffee Break |
| 10:00~12:00 | Paper Session 1 Classification and Anomaly Detection in Traffic Patterns of New York City Taxis: A Case Study in Compound Analytics Ronald Hagan (BAE Systems), Charles Phillips (University of Tennessee), Michael Langston (University of Tennessee) and Bradley Rhodes (BAE Systems) V2V: Vector Embedding of a Graph and Applications Trong Nguyen (Iowa State University), Srikanta Tirthapura (Iowa State University) Network Similarity Prediction in time-evolving graphs: A machine learning approach Keyvan Sasani (Washington State University), Mohammad Hossein Namaki (Washington State University) and Assefaw Gebremedhin (Washington State University) Neural Networks and Graph Algorithms with Next-Generation Processors Kathleen Hamilton (Oak Ridge National Laboratory), Catherine Schuman (Oak Ridge National Laboratory), Steven Young (Oak Ridge National Laboratory), Neena Imam (Oak Ridge National Laboratory) and Travis Humble (Oak Ridge National Laboratory) |
| 12:00~12:45 | Debate Bruce Hendrickson (LLNL), Johannes Langguth (Simula), Ananth Kalyanaraman (WSU), Sreenivas Rangan Sukumar (Cray) |