News

Milwaukee Independent12d
Recreating Ezekiel Gillespie: Racial bias in AI art persists despite efforts to correct flawed algorithms
The AI’s internal training data reflects a profound deficiency: it defaults to lighter-skinned representations and struggles ...
IEEE20d
Local–Global Structure-Aware Geometric Equivariant Graph Representation Learning for Predicting Protein–Ligand Binding Affinity
In this study, we propose Geo-protein-ligand binding affinity (PLA), a geometric equivariant graph representation learning framework with local-global structure awareness, to predict binding affinity ...
India TV21d
Voter turnout data: SC says representations to be made to EC within 10 days for amicable resolution
submission that it was willing to deliberate over the demand for uploading polling booth-wise voter turnout data on its website and asked the petitioners to make representations before the poll ...
IEEE22d
Globality Meets Locality: An Anchor Graph Collaborative Learning Framework for Fast Multiview Subspace Clustering
Abstract: Multiview subspace clustering (MSC) maximizes the utilization of complementary description information provided by multiview data and achieves ... samples as anchor points for representation ...
Frontiers22d
Data augmentation via diffusion model to enhance AI fairness
Data augmentation, which involves generating synthetic data from existing datasets, has gained significant attention as a solution to data scarcity. In particular, diffusion models have become a ...
C&EN29d
MOLGAECL: Molecular Graph Contrastive Learning via Graph Auto-Encoder Pretraining and Fine-Tuning Based on Drug–Drug Interaction Prediction
School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou 213164, China School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China ...