787 citations · 3.8k across the 54 of their papers we have counts for
21 papers · 1 filter
Towards Lightweight and Automated Representation Learning System for Networks
Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala +4
We propose LIGHTNE 2.0, a cost-effective, scalable, automated, and high-quality network embedding system that scales to graphs with hundreds of billions of edges on a single machin…
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…
Attention: to Better Stand on the Shoulders of Giants
Sha Yuan, Zhou Shao, Yu Zhang +4
Science of science (SciSci) is an emerging discipline wherein science is used to study the structure and evolution of science itself using large data sets. The increasing availabil…
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…
Representation Learning for Attributed Multiplex Heterogeneous Network
Yukuo Cen, Xu Zou, Jianwei Zhang +3
Network embedding (or graph embedding) has been widely used in many real-world applications. However, existing methods mainly focus on networks with single-typed nodes/edges and ca…
Modeling Personalized Dynamics of Social Network and Opinion at Individual Level
Xi Chen, Jie Tang, Yizhou Sun
Network dynamics has always been a meaningful topic deserving exploration in the realm of academy. previous network models contain two parts: (1) generating structure as per user p…
Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism
Sha Yuan, Yu Zhang, Jie Tang +2
An ability to predict the popularity dynamics of individual items within a complex evolving system has important implications in a wide range of domains. Here we propose a deep lea…
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Ming Ding, Jie Tang, Jie Zhang
We investigate how generative adversarial nets (GANs) can help semi-supervised learning on graphs. We first provide insights on working principles of adversarial learning over grap…
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…
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…
The Lifecycle and Cascade of WeChat Social Messaging Groups
Jiezhong Qiu, Yixuan Li, Jie Tang +5
Social instant messaging services are emerging as a transformative form with which people connect, communicate with friends in their daily life - they catalyze the formation of soc…
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…
Panther: Fast Top-k Similarity Search in Large Networks
Jing Zhang, Jie Tang, Cong Ma +3
Estimating similarity between vertices is a fundamental issue in network analysis across various domains, such as social networks and biological networks. Methods based on common n…
Flow-based Influence Graph Visual Summarization
Lei Shi, Hanghang Tong, Jie Tang +1
Visually mining a large influence graph is appealing yet challenging. People are amazed by pictures of newscasting graph on Twitter, engaged by hidden citation networks in academic…
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…
Modeling Emotion Influence from Images in Social Networks
Xiaohui Wang, Jia Jia, Lianhong Cai +1
Images become an important and prevalent way to express users' activities, opinions and emotions. In a social network, individual emotions may be influenced by others, in particula…
Social Network Integration: Towards Constructing the Social Graph
Yutao Zhang, Jie Tang
In this work, we formulate the problem of social network integration. It takes multiple observed social networks as input and returns an integrated global social graph where each n…
What is the Nature of Chinese MicroBlogging: Unveiling the Unique Features of Tencent Weibo
Daifeng Li, Jingwei Zhang, Gordon Guo-zheng Sun +3
China has the largest number of online users in the world and about 20% internet users are from China. This is a huge, as well as a mysterious, market for IT industry due to variou…
User-level Weibo Recommendation incorporating Social Influence based on Semi-Supervised Algorithm
Daifeng Li, Zhipeng Luo, Golden Guo-zheng Sun +2
Tencent Weibo, as one of the most popular micro-blogging services in China, has attracted millions of users, producing 30-60 millions of weibo (similar as tweet in Twitter) daily.…
Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging
Daifeng Li, Ying Ding, Xin Shuai +5
Mining user opinion from Micro-Blogging has been extensively studied on the most popular social networking sites such as Twitter and Facebook in the U.S., but few studies have been…
Does Quantum Interference exist in Twitter?
Xin Shuai, Ying Ding, Jerome Busemeyer +3
It becomes more difficult to explain the social information transfer phenomena using the classic models based merely on Shannon Information Theory (SIT) and Classic Probability The…