AI RESEARCH
From Message-Passing to Linearized Graph Sequence Models
arXiv CS.LG
•
ArXi:2605.12358v1 Announce Type: new Message-passing based approaches form the default backbone of most learning architectures on graph-structured data. However, the rapid progress of modern deep learning architectures in other domains, particularly sequence modeling, raises the question of how graph learning can benefit from these advances. We