SOURCE-LINKED INTELLIGENCE

$α$-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Graph modeling, a crucial task for representing complex relationships in graph-structured data, has achieved significant success in recent years. However, current graph modeling methods rely on traditional Graph Neural Networks and pre-training approaches to implicitly learn the underlying relational structure of graph data. Thus, these prior methods cannot capture the complex graph structure and correlations among inputs. In this paper, we introduce a novel Attention-based Normalizing Flow-based Approach\footnote{Our implementation and models will be released publicly for research reproducibi

Read original source ↗ Open in workspace

recordType

paper

region

Global