activity
20172026
most citedSelf-supervised Learning on Graphs: Deep Insights and New Direction

111 citations · 543 across the 63 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 13 cited

Node Similarity Preserving Graph Convolutional Networks

Wei Jin, Tyler Derr, Yiqi Wang +3

Graph Neural Networks (GNNs) have achieved tremendous success in various real-world applications due to their strong ability in graph representation learning. GNNs explore the grap…

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.LG2020★ 111 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.CL2020★ 13 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.IR2020★ 6 cited

Attacking Black-box Recommendations via Copying Cross-domain User Profiles

Wenqi Fan, Tyler Derr, Xiangyu Zhao +5

Recently, recommender systems that aim to suggest personalized lists of items for users to interact with online have drawn a lot of attention. In fact, many of these state-of-the-a…