CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizersby Zeyang Yu, Shengxi…
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kineticsby Ziyue…
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanicsby Paul Garnier, Jonathan Viquerat, Elie HachemFirst…
Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Propertiesby Shaswat Mohanty, Yifan Wang,…
Predicting building types and functions at transnational scaleby Jonas Fill, Michael Eichelbeck, Michael EbnerFirst submitted…
Molecular Graph Representation Learning via Structural Similarity Informationby Chengyu Yao, Hong Huang, Hang Gao, Fengge…
Edge-Wise Graph-Instructed Neural Networksby Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco VaccarinoFirst submitted to…
Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modelingby Stathis Megas, Daniel G. Chen,…
Sequential Classification of Misinformationby Daniel Toma, Wasim HuleihelFirst submitted to arxiv on: 7 Sep 2024CategoriesMain:…
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systemsby Fu Lin, Jiasheng Shi, Shijie Luo,…