Author name: Qinhan Hou, Jing Tang

arXiv:2604.24293v1 Announce Type: cross
Abstract: Graph neural ordinary differential equations (Graph ODEs) extend graph learning from discrete message-passing layers to continuous-time representation flows. While it supports adaptive long-range propa…

arXiv:2604.22413v1 Announce Type: cross
Abstract: Graph Transformers can mix information globally, but this flexibility also creates failure modes: some tasks require long-range communication while others are better served by local interaction. We stu…