Accepted posters
- A path following algorithm for the graph matching problem Mikhail Zaslaviskiy, Francis Bach, Jean-Philippe Vert
- A simple infinite topic mixture for rich graphs and relational data Janne Sinkkonen, Juuso Parkkinen, Janne Aukia, Samuel Kaski
- Adjusting for Network Size and Composition Effects in Exponential Random Graphs Pavel Krivitsky
- Connections between the Lines: Extracting Social Networks from Text Jonathan Chang, Jordan Boyd-Graber, David Blei
- Gaussian Process Models for Colored Graphs Zhao Xu, Kristian Kersting, Volker Tresp
- Gibbs sampling for logistic normal topic models with graph based priors David Mimno, Hanna M. Wallach, Andrew McCallum
- Improved algorithm and data structures for modularity analysis of large networks Alexandre P. Francisco
- Large-scale Stochastic Relational Models Kai Yu, Shenghuo Zhu
- Maximum Likelihood Graph Structure Estimation with Degree Distributions Bert Huang, Tony Jebara
- Predicting gene function in a hierarchy Sara Mostafavi and Quaid Morris
- Probabilistic Graph Models for Debugging Software Laura Dietz, Valentin Dallmeier
- Re-weighting Graph Links for Quantifying Difference Yu-Shi Lin, Chung-Chi Lin, Yuh-Show Tsai, Tien-Chuan Ku, Yi-Hung Huang, Chun-Nan Hsu
- Selection of Regularization Parameter in Sparse MRF Learning: a Bayesian Approach Narges Bani Asadi, Irina Rish, Katya Scheinberg
- Sparse multiscale regression for graphical models Justin Guinney, Simon Lunagomez, Mauro Maggioni, Sayan Mukherjee
- Temporally-Evolving Mixed Membership Stochastic Blockmodels: Exploring the Enron E-mail Database Seungil Huh, Stephen E. Fienberg
- The Information in One Prior Relative to Another Michael Evans, Gun Ho Jang
- Time Varying Ising Models Mladen Kolar, Eric Xing
- Topic Models for Hypertext: How Many words is a single link worth? Amit Gruber, Michal Rosen-Zvi, Yair Weiss
- Uncovering Latent Structure in Valued Graphs: A Variational Approach Mahendra Mariadassou, Stephane Robin, Corrine Vacher
- Visualizing Graphs with Structure Preserving Embedding Blake Shaw, Tony Jebara
- Community detection: model fitting, comparison, and utility, Jake Hofman, Chris Wiggins, Duncan Watts
- The exchangeable graph model Edo Airoldi
For abstracts, please see the 2008 NIPS Workshop Program.