103 citations · 316 across the 24 of their papers we have counts for
15 papers · 1 filter
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
Aravind Sankar, Junting Wang, Adit Krishnan +1
We present InfoMotif, a new semi-supervised, motif-regularized, learning framework over graphs. We overcome two key limitations of message passing in popular graph neural networks…
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks
Yuxin Xiao, Adit Krishnan, Hari Sundaram
Some social networks provide explicit mechanisms to allocate social rewards such as reputation based on user activity, while the mechanism is more opaque in other networks. Nonethe…
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
Kanika Narang, Chaoqi Yang, Adit Krishnan +3
This paper addresses the question of identifying the best candidate answer to a question on Community Question Answer (CQA) forums. The problem is important because Individuals oft…
Quantifying Voter Biases in Online Platforms: An Instrumental Variable Approach
Himel Dev, Karrie Karahalios, Hari Sundaram
In content-based online platforms, use of aggregate user feedback (say, the sum of votes) is commonplace as the "gold standard" for measuring content quality. Use of vote aggregate…
Mining Hidden Populations through Attributed Search
Suhansanu Kumar, Heting Gao, Changyu Wang +2
Researchers often query online social platforms through their application programming interfaces (API) to find target populations such as people with mental illness~\cite{De-Choudh…
Discovering Archetypes to Interpret Evolution of Individual Behavior
Kanika Narang, Austin Chung, Hari Sundaram +1
In this paper, we aim to discover archetypical patterns of individual evolution in large social networks. In our work, an archetype comprises of of di…