GraML 2018: Second Workshop on the Intersection of Graph Algorithms and Machine Learning

Co-located with IPDPS 2018
May 25, 2018
JW Marriott Parq Vancouver
Vancouver, British Columbia CANADA

Tentative Program

8:20~8:30 Welcome and Introduction
Assefaw Gebremedhin (WSU), Abhinav Vishnu (AMD), Antonino Tumeo (PNNL)
The power of motif counting: Theory, Algorithms, and Applications for Large Graphs
Nesreen Ahmed (Intel)
9:30~10:00Coffee Break
10:00~12:00Paper 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)
Bruce Hendrickson (LLNL), Johannes Langguth (Simula), Ananth Kalyanaraman (WSU), Sreenivas Rangan Sukumar (Cray)