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20112023
most citedDiscriminative Predicate Path Mining for Fact Checking in Knowledge Graphs

179 citations · 505 across the 46 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.SI2019★ 2 cited

Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections

Baoxu Shi, Jaewon Yang, Tim Weninger +2

Network representations have been shown to improve performance within a variety of tasks, including classification, clustering, and link prediction. However, most models either foc…

cs.SI2019★ 5 cited

Towards Interpretable Graph Modeling with Vertex Replacement Grammars

Justus Hibshman, Satyaki Sikdar, Tim Weninger

An enormous amount of real-world data exists in the form of graphs. Oftentimes, interesting patterns that describe the complex dynamics of these graphs are captured in the form of…

cs.SI2019

Modelling Online Comment Threads from their Start

Rachel Krohn, Tim Weninger

The social Web is a widely used platform for online discussion. Across social media, users can start discussions by posting a topical image, url, or message. Upon seeing this initi…

cs.SI2019★ 6 cited

Modeling Graphs with Vertex Replacement Grammars

Satyaki Sikdar, Justus Hibshman, Tim Weninger

One of the principal goals of graph modeling is to capture the building blocks of network data in order to study various physical and natural phenomena. Recent work at the intersec…

cs.MA2019★ 12 cited

Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem

Jim Blythe, John Bollenbacher, Di Huang +12

Simulating and predicting planetary-scale techno-social systems poses heavy computational and modeling challenges. The DARPA SocialSim program set the challenge to model the evolut…

cs.SI2019★ 1 cited

Dynamics of Team Library Adoptions: An Exploration of GitHub Commit Logs

Pamela Bilo Thomas, Rachel Krohn, Tim Weninger

When a group of people strives to understand new information, struggle ensues as various ideas compete for attention. Steep learning curves are surmounted as teams learn together.…

q-fin.ST2019★ 12 cited

Improved Forecasting of Cryptocurrency Price using Social Signals

Maria Glenski, Tim Weninger, Svitlana Volkova

Social media signals have been successfully used to develop large-scale predictive and anticipatory analytics. For example, forecasting stock market prices and influenza outbreaks.…