1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
Sukwon Yun, Xin Liu, Yunhak Oh +4
In real-world graphs, we often encounter missing feature situations where a few or the majority of node features, e.g., sensitive information, are missed. In such scenarios, direct…
cs.LG2023★ 1 cited
Recognizable Information Bottleneck
Yilin Lyu, Xin Liu, Mingyang Song +4
Information Bottlenecks (IBs) learn representations that generalize to unseen data by information compression. However, existing IBs are practically unable to guarantee generalizat…
cs.AI2021
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Junying Chen, Dongfang Li, Qingcai Chen +2
Automatic diagnosis has attracted increasing attention but remains challenging due to multi-step reasoning. Recent works usually address it by reinforcement learning methods. Howev…