51 citations · 190 across the 10 of their papers we have counts for
12 papers
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks
Wenyi Xiao, Huan Zhao, Vincent W. Zheng +1
PathSim is a widely used meta-path-based similarity in heterogeneous information networks. Numerous applications rely on the computation of PathSim, including similarity search and…
Differentially Private Federated Knowledge Graphs Embedding
Hao Peng, Haoran Li, Yangqiu Song +2
Knowledge graph embedding plays an important role in knowledge representation, reasoning, and data mining applications. However, for multiple cross-domain knowledge graphs, state-o…
Adam revisited: a weighted past gradients perspective
Hui Zhong, Zaiyi Chen, Chuan Qin +4
Adaptive learning rate methods have been successfully applied in many fields, especially in training deep neural networks. Recent results have shown that adaptive methods with expo…
Social Explorative Attention based Recommendation for Content Distribution Platforms
Wenyi Xiao, Huan Zhao, Haojie Pan +3
In modern social media platforms, an effective content recommendation should benefit both creators to bring genuine benefits to them and consumers to help them get really interesti…
Privacy Threats Against Federated Matrix Factorization
Dashan Gao, Ben Tan, Ce Ju +2
Matrix Factorization has been very successful in practical recommendation applications and e-commerce. Due to data shortage and stringent regulations, it can be hard to collect suf…
Vertex-reinforced Random Walk for Network Embedding
Wenyi Xiao, Huan Zhao, Vincent W. Zheng +1
In this paper, we study the fundamental problem of random walk for network embedding. We propose to use non-Markovian random walk, variants of vertex-reinforced random walk (VRRW),…