2 papers
physics.chem-ph2026
An SO(3)-equivariant reciprocal-space neural potential for long-range interactions
Lingfeng Zhang, Taoyong Cui, Dongzhan Zhou +6
Long-range electrostatic and polarization interactions play a central role in molecular and condensed-phase systems, yet remain fundamentally incompatible with locality-based machi…
cs.LG2026
LoRAP: Low-Rank Aggregation Prompting for Quantized Graph Neural Networks Training
Chenyu Liu, Haige Li, Luca Rossi
Graph Neural Networks (GNNs) are neural networks that aim to process graph data, capturing the relationships and interactions between nodes using the message-passing mechanism. GNN…