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q-bio.BM2025★ 1 cited
Multi-Alignment Contrastive Learning for Enzyme--Reaction Retrieval
Gengmo Zhou, Feng Yu, Wenda Wang +4
Identifying enzymes that catalyze target biochemical reactions is a key step in computational enzyme discovery and biocatalyst design. Recent representation-learning methods formul…
cs.LG2025
ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions
Yule Li, Yifeng Lu, Zhen Wang +3
In recent years, graph neural networks (GNN) have achieved unprecedented successes in node classification tasks. Although GNNs inherently encode specific inductive biases (e.g., ac…
cs.DS2025
Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models
Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu +1
We consider the problems of distributed heavy hitters and frequency moments in both the coordinator model and the distributed tracking model (also known as the distributed function…