18 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Disentangle-then-Refine: LLM-Guided Decoupling and Structure-Aware Refinement for Graph Contrastive Learning
Zhaoxing Li, Hai-Feng Zhang, Xiaoming Zhang
Conventional Graph Contrastive Learning (GCL) on Text-Attributed Graphs (TAGs) relies on blind stochastic augmentations, inadvertently entangling task-relevant signals with noise.…
physics.soc-ph2022
Machine learning prediction of network dynamics with privacy protection
Xin Xia, Yansen Su, Linyuan Lv +3
Predicting network dynamics based on data, a problem with broad applications, has been studied extensively in the past, but most existing approaches assume that the complete set of…
quant-ph2021★ 18 cited
Anti-crosstalk high-fidelity state discrimination for superconducting qubits
Zi-Feng Chen, Qi Zhou, Peng Duan +3
Measurement for qubits plays a key role in quantum computation. Current methods for classifying states of single qubit in a superconducting multi-qubit system produce fidelities lo…