78 citations · 153 across the 5 of their papers we have counts for
7 papers
Single Node Injection Attack against Graph Neural Networks
Shuchang Tao, Qi Cao, Huawei Shen +3
Node injection attack on Graph Neural Networks (GNNs) is an emerging and practical attack scenario that the attacker injects malicious nodes rather than modifying original nodes or…
Signed Bipartite Graph Neural Networks
Junjie Huang, Huawei Shen, Qi Cao +2
Signed networks are such social networks having both positive and negative links. A lot of theories and algorithms have been developed to model such networks (e.g., balance theory)…
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising
Junjie Huang, Huawei Shen, Qi Cao +2
While online medical crowdfunding achieved tremendous success, quantitative study about whether and how medical crowdfunding helps people remains little explored. In this paper, we…
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
Bingbing Xu, Huawei Shen, Qi Cao +2
Graph convolutional networks gain remarkable success in semi-supervised learning on graph structured data. The key to graph-based semisupervised learning is capturing the smoothnes…
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao, Huawei Shen, Jinhua Gao +2
Predicting the popularity of online content on social platforms is an important task for both researchers and practitioners. Previous methods mainly leverage demographics, temporal…
ANAE: Learning Node Context Representation for Attributed Network Embedding
Keting Cen, Huawei Shen, Jinhua Gao +3
Attributed network embedding aims to learn low-dimensional node representations from both network structure and node attributes. Existing methods can be categorized into two groups…