Graph foundation model  

作　　者：Chuan SHI Junze CHEN Jiawei LIU Cheng YANG 

机构地区：[1]School of Computer Science,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《Frontiers of Computer Science》2024年第6期291-293,共3页计算机科学前沿（英文版）

摘　　要：1 Introduction.Graph learning,dedicated to uncovering and discovering information within graph data,has continually evolved and transformed its learning paradigms since its inception.Initially,shallow learning methods like random walk[1]and matrix factorization[2]used models with few parameters to extract basic relational information from graphs.

关 键 词：transformed FOUNDATION FACTORIZATION 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]