Feb 20, 2024 · We propose Distributionally Robust GNN (DR-GNN) that incorporates Distributional Robust Optimization (DRO) into the GNN-based recommendation.
May 13, 2024 · We propose Distributionally Robust GNN (DR-GNN) that incorporates Distributional Robust Optimization (DRO) into the GNN-based recommendation.
With the capacity to capture high-order collaborative signals, Graph Neural Networks (GNNs) have emerged as powerful methods in Recommender Systems (RS).
Feb 20, 2024 · In this section, we present the background of Graph-based Recom- mender System and Distributionally Robust Optimization. 2.1 GNN-based ...
In this section, we present the background of Graph-based Recom- mender System and Distributionally Robust Optimization. 2.1 GNN-based Recommender Systems.
Distributionally Robust Graph-based Recommendation System (DR-GNN). Static Badge. This is the PyTorch implementation for our WWW 2024 paper (oral). Bohao Wang ...
Mar 18, 2024 · "Distributionally Robust Graph-based Recommendation System Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, ...
Feb 20, 2024 · Distributionally Robust GNN (DR-GNN) is proposed that incorporates Distributional Robust Optimization (DRO) into the GNN-based recommendation and addresses two ...
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Feb 21, 2024 · Distributionally Robust Graph-based Recommendation System Bohao Wang The State Key Laboratory of. Blockchain and Data Security,
Jul 23, 2024 · Distributionally Robust Graph based Recommendation System. 9 views · 4 months ago ...more. ACM SIGWEB. 1.06K. Subscribe.