activity
20132024
most citedGCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

787 citations · 4.6k across the 56 of their papers we have counts for

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Showing cs.SIShow all

15 papers · 1 filter

cs.SI2021★ 1 cited

SCR: Training Graph Neural Networks with Consistency Regularization

Chenhui Zhang, Yufei He, Yukuo Cen +7

We present the SCR framework for enhancing the training of graph neural networks (GNNs) with consistency regularization. Regularization is a set of strategies used in Machine Learn…

cs.SI2021★ 29 cited

Understanding WeChat User Preferences and "Wow" Diffusion

Fanjin Zhang, Jie Tang, Xueyi Liu +9

WeChat is the largest social instant messaging platform in China, with 1.1 billion monthly active users. "Top Stories" is a novel friend-enhanced recommendation engine in WeChat, i…

cs.SI2021★ 5 cited

CogDL: A Comprehensive Library for Graph Deep Learning

Yukuo Cen, Zhenyu Hou, Yan Wang +15

Graph neural networks (GNNs) have attracted tremendous attention from the graph learning community in recent years. It has been widely adopted in various real-world applications fr…

cs.SI2019★ 112 cited

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Jiezhong Qiu, Yuxiao Dong, Hao Ma +4

We study the problem of large-scale network embedding, which aims to learn latent representations for network mining applications. Previous research shows that 1) popular network e…

cs.SI2018★ 562 cited

DeepInf: Social Influence Prediction with Deep Learning

Jiezhong Qiu, Jian Tang, Hao Ma +3

Social and information networking activities such as on Facebook, Twitter, WeChat, and Weibo have become an indispensable part of our everyday life, where we can easily access frie…

cs.SI2017★ 722 cited

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Jiezhong Qiu, Yuxiao Dong, Hao Ma +3

Since the invention of word2vec, the skip-gram model has significantly advanced the research of network embedding, such as the recent emergence of the DeepWalk, LINE, PTE, and node…

cs.SI2016

Analysis of Link Formation, Persistence and Dissolution in NetSense Data

Ashwin Bahulkar, Boleslaw K. Szymanski, Omar Lizardo +3

We study a unique behavioral network data set (based on periodic surveys and on electronic logs of dyadic contact via smartphones) collected at the University of Notre Dame.The par…

cs.SI2016★ 1 cited

Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in Human Communication

Yuxiao Dong, Omar Lizardo, Nitesh V. Chawla

In this paper, we investigate the phenomenon of "age-specific small worlds" using data from a large-scale mobile communication network approximating interaction patterns at societa…

cs.SI2016★ 2 cited

Structural Diversity and Homophily: A Study Across More than One Hundred Big Networks

Yuxiao Dong, Reid A. Johnson, Jian Xu +1

A widely recognized organizing principle of networks is structural homophily, which suggests that people with more common neighbors are more likely to connect with each other. Howe…

cs.SI2015

Modeling the Interplay Between Individual Behavior and Network Distributions

Yang Yang, Jie Tang, Yuxiao Dong +3

It is well-known that many networks follow a power-law degree distribution; however, the factors that influence the formation of their distributions are still unclear. How can one…

cs.SI2015★ 16 cited

Inferring Unusual Crowd Events From Mobile Phone Call Detail Records

Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas +3

The pervasiveness and availability of mobile phone data offer the opportunity of discovering usable knowledge about crowd behaviors in urban environments. Cities can leverage such…

cs.SI2014★ 49 cited

Will This Paper Increase Your h-index? Scientific Impact Prediction

Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla

Scientific impact plays a central role in the evaluation of the output of scholars, departments, and institutions. A widely used measure of scientific impact is citations, with a g…

cs.SI2014★ 39 cited

Predicting Node Degree Centrality with the Node Prominence Profile

Yang Yang, Yuxiao Dong, Nitesh V. Chawla

Centrality of a node measures its relative importance within a network. There are a number of applications of centrality, including inferring the influence or success of an individ…

cs.SI2014★ 439 cited

Inferring Social Status and Rich Club Effects in Enterprise Communication Networks

Yuxiao Dong, Jie Tang, Nitesh Chawla +3

Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behavior…

cs.SI2013

Microscopic Evolution of Social Networks by Triad Position Profile

Yang Yang, Yuxiao Dong, Nitesh V. Chawla

Disentangling the mechanisms underlying the social network evolution is one of social science's unsolved puzzles. Preferential attachment is a powerful mechanism explaining social…