Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

1 code implementation • NeurIPS 2023 • Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu

In this paper, we discover that there exist cases with distribution shifts unobservable in the time domain while observable in the spectral domain, and propose to study distribution shifts on dynamic graphs in the spectral domain for the first time.

Link Prediction Node Classification

PIAT: Parameter Interpolation based Adversarial Training for Image Classification

no code implementations • 24 Mar 2023 • Kun He, Xin Liu, Yichen Yang, Zhou Qin, Weigao Wen, Hui Xue, John E. Hopcroft

Besides, we suggest to use the Normalized Mean Square Error (NMSE) to further improve the robustness by aligning the clean and adversarial examples.

Classification Image Classification

Structure Enhanced Graph Neural Networks for Link Prediction

no code implementations • 14 Jan 2022 • Baole Ai, Zhou Qin, Wenting Shen, Yong Li

Graph Neural Networks (GNNs) have shown promising results in various tasks, among which link prediction is an important one.

Link Prediction

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

1 code implementation • 29 Oct 2020 • Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang

User profiles can capture prominent user behaviors from the history, and provide valuable signals about which kinds of path patterns are more likely to lead to potential items of interest for the user.

Explainable Recommendation Knowledge Graphs +1

Spam Review Detection with Graph Convolutional Networks

3 code implementations • 22 Aug 2019 • Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li

Furthermore, we deploy our system to process million-scale data daily at Xianyu.