69 citations · 336 across the 32 of their papers we have counts for
7 papers · 1 filter
Higher-order Graph Convolutional Networks
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong +3
Following the success of deep convolutional networks in various vision and speech related tasks, researchers have started investigating generalizations of the well-known technique…
Badge System Analysis and Design
Jiawei Zhang, Xiangnan Kong, Philip S. Yu
To incentivize users' participations and steer their online activities, online social networks start to provide users with various kinds of rewards for their contributions to the s…
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching
Jiawei Zhang, Weixiang Shao, Senzhang Wang +2
To enjoy more social network services, users nowadays are usually involved in multiple online social networks simultaneously. The shared users between different networks are called…
Discovering Organizational Correlations from Twitter
Jingyuan Zhang, Xiaoxiao Shi, Xiangnan Kong +2
Organizational relationships are usually very complex in real life. It is difficult or impossible to directly measure such correlations among different organizations, because impor…
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events
Ning Yang, Xiangnan Kong, Fengjiao Wang +1
Predicting both the time and the location of human movements is valuable but challenging for a variety of applications. To address this problem, we propose an approach considering…
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks
Jiawei Zhang, Xiangnan Kong, Philip S. Yu
Online social networks have gained great success in recent years and many of them involve multiple kinds of nodes and complex relationships. Among these relationships, social links…
Predicting Trends in Social Networks via Dynamic Activeness Model
Shuyang Lin, Xiangnan Kong, Philip S. Yu
With the effect of word-of-the-mouth, trends in social networks are now playing a significant role in shaping people's lives. Predicting dynamic trends is an important problem with…