Reporter: Yin Nan UAEMBZUAIPostdoc
Reporting location: seabet sports betting Computer Building of the school headquarters313Lecture Hall
Report time:2023year11month15Sunday (Wednesday) morning10:00
Report title: "Graph Domain Transfer Learning"
Personal introduction: Yin Nan,MBZUAIPostdoc。Both bachelor’s, master’s and doctoral degrees are studied at the National University of Defense seabet online sports betting Technology，In machine learning、Social multimedia、Has deep professional knowledge and years of research experience in graph neural networks and other fields，Achieved research results recognized at home and abroad in related fields。In the past five years，Participate in publishing high-quality papers10The remaining articles, includingCCF AFirst author of journals and conferences/Corresponding author’s paper7Article. serveAAAI、NeurIPS、ICML、ACMMMand other top international seabet app download artificial intelligence conference reviewers, and served asTCSVT、TOMM、TCSSReviewer for various international journals in the fields of seabet app download artificial intelligence and data mining。
Abstract: Although graph neural network (GNN) has achieved impressive achievements in graph classification tasks，But they usually require a lot of task-specific tags，And obtaining these tags can be very expensive。A reliable solution is to explore additional labeled graphs to enhance unsupervised learning seabet casino review of the target domain。However，Due to insufficient exploration of graph topology and significant differences between domains，How toGNNIntegration with domain migration is still pending。Therefore，The report introduces related methods of graph domain transfer learning，These methods conduct in-depth exploration on how to achieve graph domain alignment，Effectively solves the problems related to graph domain transfer learning。
