2.4k citations · 4.3k across the 35 of their papers we have counts for
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Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
Xianfeng Tang, Huaxiu Yao, Yiwei Sun +3
Multivariate time series (MTS) forecasting is widely used in various domains, such as meteorology and traffic. Due to limitations on data collection, transmission, and storage, rea…
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction
Thai Le, Suhang Wang, Dongwon Lee
Despite the recent development in the topic of explainable AI/ML for image and text data, the majority of current solutions are not suitable to explain the prediction of neural net…
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao, Chuxu Zhang, Ying Wei +5
Towards the challenging problem of semi-supervised node classification, there have been extensive studies. As a frontier, Graph Neural Networks (GNNs) have aroused great interest r…
Node Injection Attacks on Graphs via Reinforcement Learning
Yiwei Sun, Suhang Wang, Xianfeng Tang +2
Real-world graph applications, such as advertisements and product recommendations make profits based on accurately classify the label of the nodes. However, in such scenarios, ther…
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh +2
Data from many real-world applications can be naturally represented by multi-view networks where the different views encode different types of relationships (e.g., friendship, shar…
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang, Yandong Li, Yiwei Sun +3
Graph neural networks (GNNs) are widely used in many applications. However, their robustness against adversarial attacks is criticized. Prior studies show that using unnoticeable m…