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Found 6 papers, 3 papers with code
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization
In a typical e-commerce setting, Content Ranking Optimization (CRO) mechanisms are employed to surface content on the search page to fulfill customers' shopping missions.
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
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.
PIAT: Parameter Interpolation based Adversarial Training for Image Classification
Besides, we suggest to use the Normalized Mean Square Error (NMSE) to further improve the robustness by aligning the clean and adversarial examples.
Structure Enhanced Graph Neural Networks for Link Prediction
Graph Neural Networks (GNNs) have shown promising results in various tasks, among which link prediction is an important one.
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
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.
Spam Review Detection with Graph Convolutional Networks
Furthermore, we deploy our system to process million-scale data daily at Xianyu.
