Yuchen Liang,Dmitry Krotov,Mohammed J Zaki
Yuchen Liang
The network embedding task is to represent a node in a network as a low-dimensional vector while incorporating the topological and structural information. Most existing approaches solve this problem by factorizing a proximity matrix, either...
Kaixiong Zhou,Xiao Huang,Qingquan Song et al.
Kaixiong Zhou et al.
Graph neural networks (GNNs) have been widely used in various graph analysis tasks. As the graph characteristics vary significantly in real-world systems, given a specific scenario, the architecture parameters need to be tuned carefully to ...
Diem-Trang Pham,Vinhthuy Phan
Diem-Trang Pham
Classifying or identifying bacteria in metagenomic samples is an important problem in the analysis of metagenomic data. This task can be computationally expensive since microbial communities usually consist of hundreds to thousands of envir...
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care [0.03%]
基于机器学习的 pharmacogenomics 决策支持原型：改善患者护理的框架
Farah Kidwai-Khan,Christopher T Rentsch,Rebecca Pulk et al.
Farah Kidwai-Khan et al.
Introduction: A growing number of healthcare providers make complex treatment decisions guided by electronic health record (EHR) software interfaces. Many interfaces integrate multiple sources of data (e.g., labs, pharmac...
TELS: Evolution patterns of research keywords from the evidence of PNAS Social Sciences topics [0.03%]
TELS：从PNAS社会科学主题的证据看研究关键词的演变模式
Bing Liu,Mengfan Shi,Yi Kuang et al.
Bing Liu et al.
By reviewing scientific literature, researchers may obtain a comprehensive understanding of field developments, keeping abreast of the current research status and hotspot shifts. The evolution pattern of keywords is supposed to be an effici...
Methods for detecting probable COVID-19 cases from large-scale survey data also reveal probable sex differences in symptom profiles [0.03%]
从大规模调查数据中检测可能的COVID-19病例的方法还揭示了可能出现的症状性别差异
Amit Klein,Karena Puldon,Stephan Dilchert et al.
Amit Klein et al.
Background: Daily symptom reporting collected via web-based symptom survey tools holds the potential to improve disease monitoring. Such screening tools might be able to not only discriminate between states of acute illne...
Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty [0.03%]
智能建筑的空间数据分析：环境意识和数据不确定性
Huan Li,Tiantian Liu,Harry Kai-Ho Chan et al.
Huan Li et al.
Intelligent buildings are among the most active Internet-of-Things (IoT) verticals, encompassing various IoT-enabled devices and sensing technologies for digital transformation. Analysis of spatial data, a very common type of data collected...
Effect of the high-level trigger for detecting long-lived particles at LHCb [0.03%]
LHCb中探测长寿命粒子的高阈值触发效应
Lukas Calefice,Arthur Hennequin,Louis Henry et al.
Lukas Calefice et al.
Long-lived particles (LLPs) show up in many extensions of the Standard Model, but they are challenging to search for with current detectors, due to their very displaced vertices. This study evaluated the ability of the trigger algorithms us...
WINNER: A network biology tool for biomolecular characterization and prioritization [0.03%]
WINNER：一个用于生物分子特征分析和优先排序的网络生物学工具
Thanh Nguyen,Zongliang Yue,Radomir Slominski et al.
Thanh Nguyen et al.
Background and contribution: In network biology, molecular functions can be characterized by network-based inference, or "guilt-by-associations." PageRank-like tools have been applied in the study of biomolecular interact...
Jun Wu,Jingrui He
Jun Wu
Dynamic transfer learning refers to the knowledge transfer from a static source task with adequate label information to a dynamic target task with little or no label information. However, most existing theoretical studies and practical algo...