Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation 事件

Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation arXiv:2603.23398v2 Announce Type: replace-cross Abstract: Generative modeling of discrete data, such as graphs, underpins many scientific and industrial applications, including molecular discovery and materials design. In these domains, probabilistic inference is particularly valuable, as it enables composable generation and principled incorporation of desired constraints, such as structural or functional proper