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cs.DS2022
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems
Jun Zhou, Feng Qi, Zhigang Hua +5
Assigning items to owners is a common problem found in various real-world applications, for example, audience-channel matching in marketing campaigns, borrower-lender matching in l…
cs.LG2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
Jihong Wang, Minnan Luo, Jundong Li +3
Recent studies have revealed that GNNs are vulnerable to adversarial attacks. Most existing robust graph learning methods measure model robustness based on label information, rende…