Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs

arXiv:2312.07983v2 Announce Type: replace
Abstract: Recently, representation learning over graph networks has gained popularity, with various models showing promising results. Despite this, several challenges persist: 1) most methods are designed for static or discrete-time dynamic graphs; 2) existing continuous-time dynamic graph algorithms focus on a single evolving perspective; and 3) many continuous-time dynamic graph approaches necessitate numerous temporal neighbors to capture long-term dependencies. In response, this paper introduces the Multi-Perspective Feedback-Attention Coupling (MPFA) model. MPFA incorporates information from both evolving …

abstract algorithms arxiv attention challenges continuous cs.ai cs.lg cs.si dynamic feedback focus graph graph algorithms graphs networks perspective representation representation learning results type