activity
20182023
most citedParameterized Explainer for Graph Neural Network

213 citations · 435 across the 29 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.IR2019

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

Xin Dong, Jingchao Ni, Wei Cheng +6

Recently, recommender systems have been able to emit substantially improved recommendations by leveraging user-provided reviews. Existing methods typically merge all reviews of a g…

cs.CR20196 cited

Heterogeneous Graph Matching Networks

Shen Wang, Zhengzhang Chen, Xiao Yu +7

Information systems have widely been the target of malware attacks. Traditional signature-based malicious program detection algorithms can only detect known malware and are prone t…

cs.LG20191 cited

Learning Robust Representations with Graph Denoising Policy Network

Lu Wang, Wenchao Yu, Wei Wang +5

Graph representation learning, aiming to learn low-dimensional representations which capture the geometric dependencies between nodes in the original graph, has gained increasing p…

cs.LG201921 cited

Adversarial Defense Framework for Graph Neural Network

Shen Wang, Zhengzhang Chen, Jingchao Ni +4

Graph neural network (GNN), as a powerful representation learning model on graph data, attracts much attention across various disciplines. However, recent studies show that GNN is…

cs.CR2019

Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection

Peng Gao, Xusheng Xiao, Ding Li +4

The need for countering Advanced Persistent Threat (APT) attacks has led to the solutions that ubiquitously monitor system activities in each enterprise host, and perform timely ab…