Workshop Schedule

The workshop will take place over two days. Both days will have keynote speakers, short presentations showcasing accepted papers, discussions at end of sessions, and a poster session to promote dialogue.

This is a tentative schedule for now, but we believe it will be the final schedule. We are working on assigning papers and speakers to their slots and expect those information to be up before the end of June.

Saturday, July 24, 2010
9:00	Welcome
9:15	Kernel Methods for Structured Inputs and Outputs Thomas Gärtner, University of Bonn and Fraunhofer IAIS Invited Talk
10:00	Dynamic Network Analysis: Model, Algorithm, Theory, and Application Eric Xing, CMU Invited Talk
10:45	Coffee break
11:15	Efficient tools for mining large graphs: Indexing, sampling, counting, and predicting Aristides Gionis, Yahoo! Research Invited Talk
12:00	Lunch
13:45	Enhancing Link-Based Similarity Through the Use of Non-Numerical Labels and Prior Information Christian Desrosiers and George Karypis Paper presentation
14:00	Structural Correlation Pattern Mining for Large Graphs Arlei Silva, Wagner Meira Jr. and Mohammed J. Zaki Paper presentation
14:15	Symmetrizations for Clustering Directed Graphs Venu Satuluri and Srinivasan Parthasarathy Paper presentation
14:30	Coffee break
15:00	Poster slam session
15:40	Poster session
18:30	End of day 1

Sunday, July 25, 2010
9:00	Evaluation Strategies for Network Classification Jennifer Neville, Purdue University Invited Talk
9:45	Network Event Data over Time: Prediction and Latent Variable Modeling Padhraic Smyth, UC Irvine Invited Talk
10:30	Coffee break
11:00	Graph Visualization With Latent Variable Models Juuso Parkkinen, Kristian Nybo, Jaakko Peltonen and Samuel Kaski Paper presentation
11:15	Time-Based Sampling of Social Network Activity Graphs Nesreen Ahmed, Fredrick Berchmans, Jennifer Neville and Ramana Kompella Paper presentation
11:30	Community Evolution Detection in Dynamic Heterogeneous Information Networks Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta and Bo Zhao Paper presentation
11:45	Lunch
13:45	Graphs for Machine Learning: Useful Metaphor or Statistical Reality Stephen E. Fienberg, CMU Invited Talk
14:30	Coffee break
15:00	Mining Massive Graphs for Telecommunication Applications Chris Volinsky, AT&T Labs Invited Talk
15:45	Discussion and community meeting
16:55	Wrap-up

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