Report time：4month6No.（Thursday）morning10Points
Reporting location：Headquarters Computer Building313
Report title：Heterogeneous Graph Neural Networks: Concepts, Models and Applications
Report Summary:
Heterogeneous graph，Also called heterogeneous graph or heterogeneous information network，is a graph composed of different types of entities and relationships，Is a basic tool for modeling realistic complex interactive systems。With graph neural network(GNN) development，The research on heterogeneous graph neural network (HGNN) has received widespread seabet app download seabet online sports betting seabet sports betting attention in recent years。Different from traditional GNN，HGNN faces some unique challenges: handling heterogeneous structures and utilizing semantic information。This report systematically introduces the research progress of heterogeneous graph neural networks，Includes: basic concepts，Classic shallow and deep models，Latest progress and e-commerce、Text、Applications in security and other fields。
Personal introduction: Ishikawa Professor, School of Computer Science, Beijing University of Posts and Telecommunications、PhD seabet sports betting seabet casino review supervisor、Deputy Director of Beijing Key Laboratory of Intelligent Communication Software and Multimedia。Main research direction: Data Mining、Machine Learning、Artificial intelligence and big data analysis。Published more than 50 papers as the first author or corresponding author in CCF A-type journals and conferences in the past 5 years，Five monographs in Chinese and English，More than 20 authorized invention patents，Relevant research results applied to Alibaba、Tencent、Huawei、Meituan and other companies。Won the ADMA2011/AMDA2018 seabet app download seabet online sports betting seabet sports betting seabet casino review Best Paper Award and WWW2019 Best Paper Candidate。Research results won 6 provincial and ministerial awards，Including the first prize of the Institute of Electronics Science and Technology Progress Award (Preface 1)、Beijing/CCF Science and Technology Award Second Prize in Natural Science (Preface 1) and Wu Wenjun Artificial Intelligence Science and Technology Progress Award First Prize (Preface 3)，Selected as an Elsevier Highly Cited Scholar，Won the title of Pioneer of Teacher Ethics and Young Talents in Beijing Higher Education Institutions。
