While advances in computing resources have made processing enormous amounts of data
possible, human ability to identify patterns in such data has not scaled accordingly. Efficient …

Graph theoretical approach has proved an effective tool to understand, characterize, and
quantify the complex brain network. However, much less attention has been paid to methods …

Map** the human brain, or understanding how certain brain regions relate to specific
aspects of cognition, has been and remains an active area of neuroscience research …

Brain graphs, which model the structural and functional relationships between brain regions,
are crucial in neuroscientific and clinical applications that can be formulated as graph …

Identity stitching, the task of identifying and matching various online references (eg, sessions
over different devices and timespans) to the same user in real-world web services, is crucial …

Fusing or aligning two or more networks is a fundamental building block of many graph
mining tasks (eg, recommendation systems, link prediction, collective analysis of networks) …

Facilitating audience participation in a music performance brings with it challenges in
involving non-expert users in large-scale collaboration. A musical piece needs to be created …

From artificial intelligence to network security to hardware design, it is well-known that
computing research drives many important technological and societal advancements …

Motivated by the problem of human-trafficking, where it is often observed that criminal
organizations are linked and behave similarly over time, we introduce the problem of …

Summarizing a large graph with a much smaller graph is critical for applications like
speeding up intensive graph algorithms and interactive visualization. In this paper, we …