Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space Coverageby Tianze Zheng, Ailun…
Advanced atom-level representations for protein flexibility prediction utilizing graph neural networksby Sina Sarparast, Aldo Zaimi,…
Rank and Align: Towards Effective Source-free Graph Domain Adaptationby Junyu Luo, Zhiping Xiao, Yifan Wang,…
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networksby Zhengjia…
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNsby Longwen Wang, Jianchun…
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximizationby Xiaodong Yang, Xiaoting Li, Huiyuan Chen,…
Learning Regularization for Graph Inverse Problemsby Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad…
Relational Graph Convolutional Networks Do Not Learn Sound Rulesby Matthew Morris, David J. Tena Cucala,…
Community-Centric Graph Unlearningby Yi Li, Shichao Zhang, Guixian Zhang, Debo ChengFirst submitted to arxiv on:…
Graph Classification with GNNs: Optimisation, Representation and Inductive Biasby P. Krishna Kumar a, Harish G.…