| Time | Event |
|---|---|
| 8:30 - 8:45 | Welcome and Introduction |
| 8:45 - 9:45 | Keynote 1 - Chair: TBD Single-Machine Analytics on Massive Graphs Using Intel Optane DC Persistent Memory Prof. Keshav Pingali (UT Austin) |
| 9:45 - 10:15 | Coffee Break |
| 10:15 - 11:55 | Session: Graph Analytics - Infrastructures & Algorithms Chair: TBD You've Got Mail: Building Missing Asynchronous Communication Primitives Benjamin Priest, Trevor Steil, Roger Pearce and Geoffrey Sanders Graph Coloring on the GPU Muhammad Osama, Minh Truong, Carl Yang, Aydin Buluç and John Owens Delta-stepping SSSP: From Vertices and Edges to GraphBLAS Implementations Upasana Sridhar, Mark Blanco, Rahul Mayurnath, Daniele G. Spampinato, Tze Meng Low and Scott McMillan Massive-Scale Graph Generation with Ground Truth: Triangles, Centrality, and Communities Trevor Steil, Benjamin Priest, Geoffrey Sanders, Roger Pearce, Timothy La Fond and Keita Iwabuch |
| 11:55 - 1:00 | Lunch |
| 1:00 - 2:00 | Keynote 2 - Chair: TBD Graph Representation Learning: Where Probability Theory, Data Mining, and Neural Networks Meet Prof. Bruno Ribeiro (Purdue University) |
| 2:25 - 2:50 | Session: Session: Graphs & Machine Learning Chair: TBD Compound Analytics using Combinatorics for Feature Selection: A Case Study in Bioarker Detection Ronald Hagan, Brett Hagan, Charles Phillips, Bradley Rhodes and Michael A. Langston RadiX-Net: Structured Sparse Matrices for Deep Neural Networks Ryan Robinett and Jeremy Kepner |
| 2:50 - 3:30 | Coffee Break |
| 3:30 - 4:15 | Invited Talk - Chair: TBD Graph Mining with Deep Learning: challenges and pitfals Dr. Ana Paula Appel (IBM Research, Brazil) |
| 4:15 - 5:00 | Session: Graph Analytics Frameworks Chair: TBD LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLAS Tim Mattson, Timothy A. Davis, Manoj Kumar, Aydin Buluc, Scott McMillan, Jose Moreira and Carl Yang RedisGraph GraphBLAS Enabled Graph Database Pieter Cailliau, Jeremy Kepner and Tim Davis |