Summary of Multi-output Distributional Fairness Via Post-processing, by Gang Li et al.
Multi-Output Distributional Fairness via Post-Processingby Gang Li, Qihang Lin, Ayush Ghosh, Tianbao YangFirst submitted to…
Summary of Uncertainty Modeling in Graph Neural Networks Via Stochastic Differential Equations, by Richard Bergna et al.
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equationsby Richard Bergna, Sergio Calvo-Ordoñez, Felix…
Summary of Large-scale Demand Prediction in Urban Rail Using Multi-graph Inductive Representation Learning, by Dang Viet Anh Nguyen et al.
Large-Scale Demand Prediction in Urban Rail using Multi-Graph Inductive Representation Learningby Dang Viet Anh Nguyen,…
Summary of Learning Granularity Representation For Temporal Knowledge Graph Completion, by Jinchuan Zhang et al.
Learning Granularity Representation for Temporal Knowledge Graph Completionby Jinchuan Zhang, Tianqi Wan, Chong Mu, Guangxi…
Summary of Subgroup Analysis Via Model-based Rule Forest, by I-ling Cheng et al.
Subgroup Analysis via Model-based Rule Forestby I-Ling Cheng, Chan Hsu, Chantung Ku, Pei-Ju Lee, Yihuang…
Summary of Explainable Hierarchical Urban Representation Learning For Commuting Flow Prediction, by Mingfei Cai et al.
Explainable Hierarchical Urban Representation Learning for Commuting Flow Predictionby Mingfei Cai, Yanbo Pang, Yoshihide SekimotoFirst…
Summary of Disentangled Generative Graph Representation Learning, by Xinyue Hu et al.
Disentangled Generative Graph Representation Learningby Xinyue Hu, Zhibin Duan, Xinyang Liu, Yuxin Li, Bo Chen,…
Summary of How Diffusion Models Learn to Factorize and Compose, by Qiyao Liang et al.
How Diffusion Models Learn to Factorize and Composeby Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila…
Summary of Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations For Fair Graph Neural Networks, by Yeon-chang Lee et al.
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networksby Yeon-Chang Lee, Hojung…
Summary of Smooth Infomax — Towards Easier Post-hoc Interpretability, by Fabian Denoodt et al.
Smooth InfoMax – Towards easier Post-Hoc interpretabilityby Fabian Denoodt, Bart de Boer, José OramasFirst submitted…