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