• 09:15 - 09:30 welcome
• 09:30 - 10:30 keynote by Carlos Guestrin: Graphs at scale with GraphLab
• 10:30 - 10:45 coffee break
• 10:45 - 11:45 presentation session I (5 x 12min talks)
• 11:45 - 12:15 interactive session I
• 12:15 - 13:45 lunch (outside)
• 13:45 - 14:45 presentation session II (5 x 12min talks)
• 14:45 - 15:15 interactive session II
• 15:15 - 15:30 coffee break
• 15:30 - 16:45 presentation session III (6 x 12min talks)
• 16:45 - 17:15 interactive session III

The research program of GRADES will be presented in three paper sessions, each of which consists of:

1. a presentation session: short talks with a hard time limit of 10 MINUTES each (plus 2 minutes for questions/presenter change).
2. an interactive session: 30 minutes of "poster-session style" interaction between the presenters of the paper session and the audience.

For the poster-session style interaction, GRADES will provide 6 poster boards that measure 3' wide and 6' high. There is no strict requirement to create a single printed poster, but we do recommend to prepare additional backup presentation material (and maybe even bring a demo on a laptop - if applicable). In such case, you could use a collection of printed ppt slides (e.g., up to 18 landscape-oriented slides arranged in 6 rows and 3 columns) on the poster board.

Please make use of the (coffee) break preceding your paper session to put up your backup material on the poster board marked with your paper slot number (these numbers are found below).

Paper slot numbers in this session are as follows:

1. Graph Analysis. Do We Have to Reinvent the Wheel? - Adam Welc, Raghavan Raman, Zhe Wu, Sungpack Hong, Hassan Chafi, Jay Banerjee (Oracle Labs). slides
2. Scale-up Graph Processing: A Storage-centric View - Eiko Yoneki (University of Cambridge); Amitabha Roy (EPFL). slides
3. Sparqling Kleene - Fast Regex Paths in RDF-3X - Andrey Gubichev (TU Munich); Srikanta Bedathur (IIIT-D); Stephan Seufert (Max Planck Institute for Informatics). slides
4. Using Substructure Mining to Identify Misbehavior in Network Provenance Graphs - David DeBoer, Wenchao Zhou, Lisa Singh (Georgetown University). slides
5. Time-varying Social Networks in a Graph Database - A Neo4j Use Case - Alex Averbuch (Neo Technology); Marco Quaggiotto, Ciro Cattuto, Andréanisson (ISI Foundation). < slides

The last 30 minutes of the session will be used for poster-style presentations of these papers.

Paper slot numbers in this session are as follows:

1. Converting Relational to Graph Databases - Roberto De Virgilio, Antonio Maccioni, Riccardo Torlone (Universita' Roma Tre).
slides
2. Partial View Selection for Evolving Social Graphs - Georgia Koloniari (University of Macedonia); Evaggelia Pitoura (University of Ioannina). slides
3. Benchmarking database systems for social network applications - Renzo Angles (Universidad de Talca); Arnau Prat (UPC Barcelona); David Dominguez (Sparsity Technologies); Josep Lluis Larriba Pey (UPC Barcelona). slides
4. Leveraging Flexible Data Management with Graph Databases - Elena Vasilyeva (SAP AG); Maik Thiele (Technische Universität Dresden); Christof Bornhövd (SAP Labs, LLC); Wolfgang Lehner (Technische Universität Dresden). slides
5. Regularities and dynamics in bisimulation reductions of big graphs - Yongming Luo, George H.L. Fletcher (TU Eindhoven); Jan Hidders (TU Delft); Paul De Bra (TU Eindhoven); Yuqing Wu (Indiana University, Bloomington). slides

The last 30 minutes of the session will be used for poster-style presentations of these papers.

Paper slot numbers in this session are as follows:

1. Massive Scale Cyber Traffic Analysis: A Driver for Graph Database Research - Cliff Joslyn, Sutanay Choudhury, David Haglin, Bill Howe, Bill Nickless, Bryan Olsen (Pacific Northwest National Lab). slides
2. On Benchmarking Online Social Media Analytical Queries - Ma Haixin, Qian Weining, Xia Fan, Wei Jinxian, Yu Chengcheng, Aoying Zhou (East China Normal University). slides
3. GraphBuilder: Scalable Graph ETL Framework - Nilesh Jain, Guangdeng Liao, Theodore Willke (Intel Corp). slides
4. GraphX: A Resilient Distributed Graph System on Spark - Reynold Xin, Joseph Gonzalez, Michael Franklin (UC Berkeley).
5. SynopSys: Large Graph Analytics in the SAP HANA Database Through Summarization - Michael Rudolf, Marcus Paradies (SAP AG); Christof Bornhövd (SAP Labs, LLC); Wolfgang Lehner (Technische Universität Dresden). slides
6. Early Experiences in Using a Domain-Specific Language for Large-Scale Graph Analysis - Sungpack Hong, Jan Van Der Lugt, Adam Welc, Raghavan Raman, Hassan Chafi (Oracle Labs). slides

The last 30 minutes of the session will be used for poster-style presentations of these papers.