I research large-scale data mining on graphs and/or time series. I’m especially interested in interruptible or adaptive techniques like anytime algorithms and active learning. I also try to find meaningful applications of my research. Past projects explore brain networks in neuroscience. I’m currently looking into socioeconomics applications like career, housing, and crime analysis.
Journal Conference Workshop Other Notes
Yike Liu, Tara Safavi, Abhilash Dighe, Danai Koutra. Graph Summarization Methods and Applications: A Survey. ACM Computing Surveys (CSUR), February 2018 Journal
Yike Liu, Tara Safavi, Neil Shah, Danai Koutra. Reducing Large Graphs to Small Supergraphs: A Unified Approach. Social Network Analysis and Mining Journal (SNAM), February 2018 Journal
Tara Safavi, Chandra Sripada, Danai Koutra. Fast Network Discovery on Sequence Data via Time-Aware Hashing. Under review with Knowledge and Information Systems (KAIS), 2018 Journal Invited from ICDM
Danai Koutra, Tara Safavi, Yike Liu, Abhilash Dighe. “Network Summarization”, Social Media Analytics: Advances and Applications, CRC Press (in press), 2018 Book chapter