30 citations · 42 across the 6 of their papers we have counts for
4 papers
Learning on Graphs with Out-of-Distribution Nodes
Yu Song, Donglin Wang
Graph Neural Networks (GNNs) are state-of-the-art models for performing prediction tasks on graphs. While existing GNNs have shown great performance on various tasks related to gra…
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
Yu Song, Santiago Miret, Bang Liu
We present MatSci-NLP, a natural language benchmark for evaluating the performance of natural language processing (NLP) models on materials science text. We construct the benchmark…
Non-Gaussian reconciliation for continuous-variable quantum key distribution
Xiangyu Wang, Menghao Xu, Yin Zhao +3
Non-Gaussian modulation can improve the performance of continuous-variable quantum key distribution (CV-QKD). For Gaussian modulated coherent state CV-QKD, photon subtraction can r…
High-Rate Point-to-Multipoint Quantum Key Distribution using Coherent States
Yiming Bian, Yi-Chen Zhang, Chao Zhou +3
Quantum key distribution (QKD) which enables information-theoretically security is now heading towards quantum secure networks. It requires high-performance and cost-effective prot…