IMLIP2025特约报告|石川：大模型时代的异质图计算

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第二届国际多语种智能信息处理会议（IMLIP 2025）暨第六届“数据智能与知识服务”研讨会（DIKS2025）将于2025年7月26-27日在内蒙古呼和浩特召开。

北京邮电大学——石川教授已确认为大会作特约报告！

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北京邮电大学计算机学院教授

教育部长江学者特聘教授

石川 教授

报告题目

《大模型时代的异质图计算》

Heterogeneous graph computing in the era of large language models

报告摘要：异质图，也称异构图或异质信息网络，是由不同类型的实体和关系构成图。异质图是建模复杂交互系统的基本工具，也是广泛存在的一类数据形式，并形成了特有的分析方法。异质图分析也成为了数据挖掘领域的研究热点，并在工业界广泛使用。本报告系统介绍异质图的概念，模型，应用与平台。另外，本报告也将讨论大模型对图计算的影响，以及解决思路：图基础模型。

Abstract: Heterogeneous graphs, also called heterogeneous information networks, are graphs composed of different types of entities and relationships. Heterogeneous graphs are a basic tool for modeling complex interactive systems. They are also a widely existing data form and have formed unique analysis methods. Heterogeneous graph analysis has become a research hotspot in the field of data mining and is widely used in industry. This talk systematically introduces the concepts, models, applications and platforms of heterogeneous graphs. In addition, this talk will also briefly discuss the impact of large language models on graph computing and point out the promising solution: graph foundation model.

报告人介绍

石川，北京邮电大学计算机学院教授、教育部长江学者特聘教授。主要研究方向: 数据挖掘、机器学习、人工智能和大数据分析。近5年在CCF A类期刊和会议发表论文100余篇，中英文专著六部，连续入选爱思唯尔高被引学者；授权发明专利30余项，相关研究成果应用于阿里、蚂蚁、腾讯、华为、美团等公司。研究成果获得电子学会科技进步一等奖和北京市自然科学二等奖等奖项。

Chuan Shi is the professor in School of Computer Sciences of Beijing University of Posts and Telecommunications, and he was appointed as a Changjiang Scholar Distinguished Professor by the Ministry of Education. The main research interests include data mining, machine learning, artificial intelligence and big data analysis. In the past 5 years, he has published over 100 papers in top journals and conferences, as well as four English monographs. In addition, he has been authorized more than 30 invention patents, and his researches have been applied to companies such as Alibaba, Tencent, Huawei, and Meituan. Moreover, he also won several awards, such as the first prize of science and technology progress of the Chinese Institute of Electronics (1st) and the second prize of Natural Science of Beijing/CCF (1st).