Výsledky vyhledávání - "Xiaoqing Lyu"

Adaptive Edge Attention for Graph Matching with Outliers

Autor: Haibin Ling, Xiaoqing Lyu, Jingwei Qu, Chenrui Zhang, Zhi Tang

Publikováno v: IJCAI

Graph matching aims at establishing correspondence between node sets of given graphs while keeping the consistency between their edge sets. However, outliers in practical scenarios and equivalent learning of edge representations in deep learning meth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b83f65e3a99ad782623f4795d99f642
https://doi.org/10.24963/ijcai.2021/134

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Single‐cell RNA sequencing reveals chemokine self‐feeding of myeloma cells promotes extramedullary metastasis

Autor: Hongmei Jing, Shuang Geng, Fan Wu, Yuping Zhong, Jing Wang, Yuhong Pang, Xiannian Zhang, Jiajia Zhang, Yanyi Huang, Xiaoqing Lyu, Jianbin Wang, Wenming Wang

Publikováno v: FEBS Letters. 594:452-465

In this study, we aimed to determine the mechanisms underlying the initial extramedullary translocation of myeloma cells from bone marrow into peripheral blood. We found that clonal circulating plasma cells (cPCs) are more frequently detected by flow

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e634f4d9c0c5d34a17da0dfb5384b649
https://doi.org/10.1002/1873-3468.13623

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An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding

Autor: Xiaoqing Lyu, Yifan Wang, Haowen Sun, Bei Wang, Zhenming Liu, Zhi Tang

Publikováno v: BIBM

Drug repositioning has received ever-increasing attention in the field of drug discovery over the last few years. However, the high efficient prediction methods taking full advantage of heterogeneous information networks (HINs) still deserves further

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58e00ddcf71d52fcb281216ab26ec9a2
https://doi.org/10.1109/bibm49941.2020.9313191

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Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation

Autor: Xiaoqing Lyu, Bei Wang, Zhi Tang, Chenrui Zhang, Hao Zhang

Publikováno v: CIKM

Cold-start is a long-standing and challenging problem in recommendation systems. To tackle this issue, many cross-domain recommendation approaches are proposed. However, most of them follow a two-stage embedding-and-mapping paradigm, which is hard to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ebfc59f43165a6b8aeab3af151098b7a
https://doi.org/10.1145/3340531.3412069

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Topology Discriminative Pooling via Graph Kernel Derived Nodes and Edges Co-Embedding

Autor: Xiaoqing Lyu, Zhi Tang, Yifeng Huang, Chenrui Zhang

Publikováno v: ICME

As a vital component of graph neural networks, graph pooling remains largely an open problem. Most existing methods are induced by empirical insights, while ignore the effect of topology information for graph coarsening guidance. In this paper, we pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c94b420ed59655895b0b38c5fa4db993
https://doi.org/10.1109/icme46284.2020.9102763

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GNDD: A Graph Neural Network-Based Method for Drug-Disease Association Prediction

Autor: Jingwei Qu, Haowen Sun, Zehua Pan, Xiaoqing Lyu, Bei Wang, Zhi Tang

Publikováno v: BIBM

Potential drug-disease association prediction is important to facilitate drug discovery. However, most of existing drug-disease association prediction approaches rely on assembling multiple drug (disease)-related biological information, which is usua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0811506721eef04f55084a18e41770cf
https://doi.org/10.1109/bibm47256.2019.8983257

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