bet365 live casino app title 1: Construction of biological knowledge graph
bet365 live casino app time:October 22, 2022Sunday morning8:30-9:10
Reporter: Zhao Qichang
Reporting location: Computer Building313Lecture Hall
Abstract:
Knowledge graphs become a popular method for modeling complex biological systems，It can model interactions between biological entities and their impact on biological systems。In this bet365 live casino app，I will introduce the construction steps and subsequent analysis process of the biological knowledge graph。This bet365 live casino app is mainly divided into four parts，Part 1 introduces the definition of biological knowledge graph，The second part briefly describes the main construction steps of the biological knowledge graph，The third part begins withBioteque introduces the analysis process after constructing the knowledge bet365 live casino app through an example，The fourth part presents the difficulties and challenges I learned during the learning process of knowledge bet365 live casino app。
About the speaker:
Zhao Qichang is from the School of Computer Science, bet365 live casino app20Ph.D. student，Current bet365 live casino app interests include machine learning，Deep Learning and Bioinformatics。
Report title 2: Knowledge graph embedding method and its bet365 live casino app in recommendation system
bet365 live casino app time:October 22, 2022Sunday morning9:10-9:50
Reporter: Luo Yi
Reporting location: Computer Building313Lecture Hall
Abstract:
This report introduces how the knowledge graph embedding method can use the information stored in the knowledge graph to be used by programs，And methods of using knowledge graphs to improve recommendation system performance。The main content is divided into three parts，First introduce the terminology related to knowledge graph embedding technology，Understand the basic concepts of knowledge graph embedding。Then introduce three major types of embedding methods: based on translation distance，Based on semantic matching and based on neural network。Finally introduce the bet365 live casino app method of knowledge graph in recommendation system。
About the speaker:
Luo Yi is from the School of Computer Science, bet365 live casino app22Ph.D. student，bet365 live casino app direction: bioinformatics and data analysis。
bet365 live casino app title three: Knowledge bet365 live casino app and medical imaging field
bet365 live casino app time:October 22, 2022Sunday morning9:50-10:30
Reporter: Yan Quan
Reporting location: Computer Building313Lecture Hall
Abstract:
Knowledge graph can provide rich professional concepts and related relationships，Has great potential for assisting the analysis of medical images。Using knowledge graphs to integrate domain knowledge into deep learning models is a current research hotspot。This report is divided into three parts: first, it introduces the bet365 live casino app scenarios of knowledge graph in the field of medical imaging，Then introduce a representative case for each bet365 live casino app scenario，Finally introduce the current challenges and future directions。
About the speaker:
Yan Quan is from the School of Computer Science, bet365 live casino app21Level Master’s student。Research direction: bet365 live casino app of knowledge graph in medical imaging diagnosis。
bet365 live casino app title four: Drugs based on knowledge bet365 live casino app and recommendation system-Target interaction bet365 live casino app framework
bet365 live casino app time:October 22, 2022Sunday morning10:30-11:10
Reporter: Zhao Haochen
Reporting location: Computer Building313Lecture Hall
Abstract:
bet365 live casino app-Target bet365 live casino app (DTI) plays a vital role in various applications in bet365 live casino app development，For example, lead discovery、bet365 live casino app repurposing and elucidation of possible off-target or side effects。However，for DTI Traditional bet365 live casino app experiments for detection are often expensive and time-consuming。Over the past few decades，Many have been developed for DTI Calculation method of identification，To narrow the search space for bet365 live casino app and protein candidates，To reduce costs and accelerate the efficiency of bet365 live casino app discovery and development。But existing methods still exist DTI Data set is highly sparse and cold start problem。This bet365 live casino app will share a combined knowledge graph (KG) bet365 live casino app DTI bet365 live casino app Unified Framework (KGE_NFM). The framework learns first KG low-dimensional representation of various entities in, and then passed through the neural decomposition machine (NFM) Integrating multimodal bet365 live casino app. KGE_NFMEvaluated in bet365 live casino app real-world scenarios，And achieve accurate and robust predictions on four benchmark datasets，Especially in protein cold start scenarios。Experimental results show，KGE_NFM for general KG Integrate recommender system-based technologies bet365 live casino app a unified framework for new DTI Discovery provides valuable insights.
About the speaker:
Zhao Haochen is from the School of Computer Science, bet365 live casino app19Ph.D. student。Mainly studies bet365 live casino app side effect prediction and bet365 live casino app repositioning。
bet365 live casino app topic 5: Drugs based on knowledge graph-bet365 live casino app
bet365 live casino app time:October 22, 2022Sunday morning11:10-11:50
Reporter: Zhongkey
Reporting location: Computer Building313Lecture Hall
Abstract:
Knowledge graph is a large-scale semantic network，Multiple data sources merged，Use the form of graph to display the semantic relationship of data entities。Currently，Most drug-related knowledge is the result of clinical evaluation and post-marketing surveillance；resulting in limited amount of information。Existing data-driven drug interaction prediction methods often rely on a single source of information，How to effectively use biomedical knowledge graphs to predict drug interactions has become a hot issue。In this bet365 live casino app，We will introduce the latest research progress of knowledge graphs in drug interaction prediction problems。
About the speaker:
Zhong Jian is from the School of Computer Science, bet365 live casino app19Ph.D. student。Mainly studies protein interaction prediction and bet365 live casino app problems。
Report Topic 6: bet365 live casino app of Knowledge Graph in Proteomics
bet365 live casino app time:October 22, 2022Sunday morning11:50-12:30
Reporter: Liang Xiao
Reporting location: Computer Building313Lecture Hall
Abstract:
This bet365 live casino app is mainly divided into two parts:1.Introduction to basic concepts and terminology in proteomics bet365 live casino app. 2.Share the specific bet365 live casino app of current knowledge graphs in proteomics。This report will share the clinical knowledge map (Clinical Knowledge bet365 live casino app，CKG），This is an open source knowledge bet365 live casino app platform，Currently contains nearly200010,000 nodes and2.2Billions of mutual relationships，Transparency for proteomics and multi-omics data、Automated integrated analysis。bet365 live casino app will be sharedCKGHow to solve some major bottlenecks in personalized medicine and bet365 live casino app-driven clinical decision-making，And help clinical decision-making。。
About the speaker:
Liang Xiao is from the School of Computer Science, bet365 live casino app22-level doctoral student. bet365 live casino app direction: Bioinformatics.
