69 citations · 327 across the 44 of their papers we have counts for
6 papers · 1 filter
Expertise and confidence explain how social influence evolves along intellective tasks
Omid Askarisichani, Elizabeth Y. Huang, Abed K. Musaffar +3
Discovering the antecedents of individuals' influence in collaborative environments is an important, practical, and challenging problem. In this paper, we study interpersonal influ…
DANR: Discrepancy-aware Network Regularization
Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh
Network regularization is an effective tool for incorporating structural prior knowledge to learn coherent models over networks, and has yielded provably accurate estimates in appl…
The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States
Omid Askarisichania, Ambuj K. Singh, Francesco Bullo +1
We draw on the data collected by the Integrated Crisis Early Warning System on millions of international and regional public news stories, and this system's indicators of the orien…
Learning Deep Graph Representations via Convolutional Neural Networks
Wei Ye, Omid Askarisichani, Alex Jones +1
Graph-structured data arise in many scenarios. A fundamental problem is to quantify the similarities of graphs for tasks such as classification. R-convolution graph kernels are pos…
Incorporating User's Preference into Attributed Graph Clustering
Wei Ye, Dominik Mautz, Christian Boehm +2
Graph clustering has been studied extensively on both plain graphs and attributed graphs. However, all these methods need to partition the whole graph to find cluster structures. S…
Tree++: Truncated Tree Based Graph Kernels
Wei Ye, Zhen Wang, Rachel Redberg +1
Graph-structured data arise ubiquitously in many application domains. A fundamental problem is to quantify their similarities. Graph kernels are often used for this purpose, which…