BriefGPT.xyz
Nov, 2021
分层原型网络用于连续图表示学习
Hierarchical Prototype Networks for Continual Graph Representation Learning
HTML
PDF
Xikun Zhang, Dongjin Song, Dacheng Tao
TL;DR
本文提出一种基于原子特征提取器和分层原型网络的深度学习模型来解决连续扩展的图数据中面临的遗忘问题,并对其理论进行了证明,并在五个数据集上进行了实验验证。
Abstract
Despite significant advances in
graph representation learning
, little attention has been paid to the more practical
continual learning
scenario in which new categories of nodes (e.g., new research areas in citati
→