activity
20172020
most citedSelf-supervised Learning on Graphs: Deep Insights and New Direction

111 citations · 163 across the 7 of their papers we have counts for

collaborators

9 papers

cs.SI2020

Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries

Aaron Brookhouse, Tyler Derr, Hamid Karimi +2

Information is crucial to the function of a democratic society where well-informed citizens can make rational political decisions. While in the past political entities were primari…

cs.LG2020111 cited

Self-supervised Learning on Graphs: Deep Insights and New Direction

Wei Jin, Tyler Derr, Haochen Liu +4

The success of deep learning notoriously requires larger amounts of costly annotated data. This has led to the development of self-supervised learning (SSL) that aims to alleviate…

cs.CL202013 cited

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models

Haochen Liu, Zhiwei Wang, Tyler Derr +1

Recently, neural network based dialogue systems have become ubiquitous in our increasingly digitalized society. However, due to their inherent opaqueness, some recently raised conc…

cs.LG2019

Characterizing the Decision Boundary of Deep Neural Networks

Hamid Karimi, Tyler Derr, Jiliang Tang

Deep neural networks and in particular, deep neural classifiers have become an integral part of many modern applications. Despite their practical success, we still have limited kno…

cs.CL201918 cited

Say What I Want: Towards the Dark Side of Neural Dialogue Models

Haochen Liu, Tyler Derr, Zitao Liu +1

Neural dialogue models have been widely adopted in various chatbot applications because of their good performance in simulating and generalizing human conversations. However, there…

cs.SI2019

Balance in Signed Bipartite Networks

Tyler Derr, Cassidy Johnson, Yi Chang +1

A large portion of today's big data can be represented as networks. However, not all networks are the same, and in fact, for many that have additional complexities to their structu…