5 citations · 10 across the 7 of their papers we have counts for
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cs.LG2026
Generative Optimization for Incentivized Advertising with Global Level Constraints
Gege Chen, Ning Luo, Hao Jiang +7
Incentivized advertising allocates monetary or virtual rewards to drive user engagement, where a key challenge is optimizing continuous incentive magnitudes under strict global con…
cs.LG2026
Why Self-Inconsistency Arises in GNN Explanations and How to Exploit It
Wenxin Tai, Yaqian Liu, Ting Zhong +1
Recent work has observed that explanations produced by Self-Interpretable Graph Neural Networks (SI-GNNs) can be self-inconsistent: when the model is reapplied to its own explanato…
cs.LG2024★ 5 cited
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection
Chunjing Xiao, Shikang Pang, Wenxin Tai +3
Graph-level anomaly detection is significant in diverse domains. To improve detection performance, counterfactual graphs have been exploited to benefit the generalization capacity…