Neural Message Passing on Structural Interaction Graphs for Fully-Inductive Graph Neural Networks
面向全归纳图神经网络的结构交互图上的神经消息传递
AI总结 该研究提出SIGIL框架，通过结构交互图和关系消息传递网络实现图特征的统一表示，可用于全归纳链接预测，还能统一多种图基础模型设计范式。
Comments 7 pages, 1 figure in the main body. 12 pages, 5 figures in appendix. Submitted to AAAI 2027 (main track) and currently under review
