3 papers
cs.LG2026
A Weisfeiler-Leman Characterization of Global-Attention Graph Transformers for Mixed-Integer Linear Programs
Md Abrar Jahin, Craig A. Knoblock, Jay Pujara
Graph foundation models (GFMs) with global attention are increasingly used to represent mixed-integer linear programs (MILPs), aiming to capture structure beyond the locality of st…
cs.AI2026
AFFORDANCE20Q: Evaluating Affordance Reasoning from Physical Properties
Yifan Jiang, Meige Yang, Zitong Li +1
Affordance reasoning, the inference of an object's action possibilities from its physical properties (e.g., shape and material), is fundamental to human physical understanding and…
cs.LG2026
ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1
Dynamic graph representation learning requires capturing both structural relations and temporal evolution, yet existing approaches face a core trade-off: attention-based methods of…