activity
20112021
most citedGraph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

413 citations · 997 across the 48 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

cs.IR2019

An End-to-End Framework for Cold Question Routing in Community Question Answering Services

Jiankai Sun, Jie Zhao, Huan Sun +1

Routing newly posted questions (a.k.a cold questions) to potential answerers with the suitable expertise in Community Question Answering sites (CQAs) is an important and challengin…

cs.SI2019★ 7 cited

Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods

Moniba Keymanesh, Saket Gurukar, Bethany Boettner +3

Sociologists associate the spatial variation of crime within an urban setting, with the concept of collective efficacy. The collective efficacy of a neighborhood is defined as soci…

cs.IR2019

Automatic Table completion using Knowledge Base

Bortik Bandyopadhyay, Xiang Deng, Goonmeet Bajaj +2

Table is a popular data format to organize and present relational information. Users often have to manually compose tables when gathering their desiderate information (e.g., entiti…

cs.LG2019★ 152 cited

Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights

Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy +2

Reducing traffic accidents is an important public safety challenge, therefore, accident analysis and prediction has been a topic of much research over the past few decades. Using s…

cs.LG2019★ 9 cited

Network Representation Learning: Consolidation and Renewed Bearing

Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan +9

Graphs are a natural abstraction for many problems where nodes represent entities and edges represent a relationship across entities. An important area of research that has emerged…

cs.DB2019★ 55 cited

A Countrywide Traffic Accident Dataset

Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy +1

Reducing traffic accidents is an important public safety challenge. However, the majority of studies on traffic accident analysis and prediction have used small-scale datasets with…