152 citations · 233 across the 8 of their papers we have counts for
8 papers
Friend Ranking in Online Games via Pre-training Edge Transformers
Liang Yao, Jiazhen Peng, Shenggong Ji +4
Friend recall is an important way to improve Daily Active Users (DAU) in online games. The problem is to generate a proper lost friend ranking list essentially. Traditional friend…
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…
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding
Wenqiang Liu, Hongyun Cai, Xu Cheng +3
The goal of representation learning of knowledge graph is to encode both entities and relations into a low-dimensional embedding spaces. Many recent works have demonstrated the ben…
Initialization for Network Embedding: A Graph Partition Approach
Wenqing Lin, Feng He, Faqiang Zhang +2
Network embedding has been intensively studied in the literature and widely used in various applications, such as link prediction and node classification. While previous work focus…
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
Graph is an important data representation which appears in a wide diversity of real-world scenarios. Effective graph analytics provides users a deeper understanding of what is behi…
Active Learning for Graph Embedding
Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang
Graph embedding provides an efficient solution for graph analysis by converting the graph into a low-dimensional space which preserves the structure information. In contrast to the…
From Community Detection to Community Profiling
Hongyun Cai, Vincent W. Zheng, Fanwei Zhu +2
Most existing community-related studies focus on detection, which aim to find the community membership for each user from user friendship links. However, membership alone, without…
From Node Embedding To Community Embedding
Vincent W. Zheng, Sandro Cavallari, Hongyun Cai +2
Most of the existing graph embedding methods focus on nodes, which aim to output a vector representation for each node in the graph such that two nodes being "close" on the graph a…