SDM'14 Accepted Papers

• VoG: Summarizing and Understanding Large Graphs
• Local Learning for Mining Outlier Subgraphs from Network Datasets
• Triangle counting in streamed graphs via small vertex covers
• Laplacian Spectral Properties of Graphs from Random Local Samples
• DAVA: Distributing Vaccines over Networks under Prior Information
• A Deep Learning Approach to Link Prediction in Dynamic Networks
• Multi-Task Feature Selection on Multiple Networks via Maximum Flows
• Make It or Break It: Manipulating Robustness in Large Networks