APRIL 4, 2025 Conference Paper Accelerating GNNs on GPU Sparse Tensor Cores through N:M Sparsity-Oriented Graph Reordering ( Read More )
APRIL 3, 2025 Conference Paper Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature’s Power in Real-World Spatial-Temporal Graph Learning ( Read More )
APRIL 3, 2025 Conference Paper Unlocking Scholarly Insights: Leveraging Machine Learning Approaches for Citation Analysis and Intent Classification ( Read More )
MARCH 7, 2025 Journal Article Regulation of bacterial stringent response by an evolutionary conserved ribosomal protein L11 methylation ( Read More )
MARCH 7, 2025 Journal Article A High-Quality Genome-Scale Model for Rhodococcus opacus Metabolism ( Read More )
MARCH 7, 2025 Journal Article Introducing Molecular Hypernetworks for Discovery in Multidimensional Metabolomics Data ( Read More )
JANUARY 30, 2025 Journal Article A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events ( Read More )
DECEMBER 21, 2024 Journal Article Carbon negative synthesis of amino acids using a cell-free-based biocatalyst ( Read More )
DECEMBER 20, 2024 Conference Paper Distributed Multi-GPU Community Detection on Exascale Computing Platforms ( Read More )
NOVEMBER 18, 2024 Report Unifying Combinatorial and Graphical Methods in Artificial Intelligence ( Read More )
NOVEMBER 18, 2024 Journal Article CRISPR-Cas9/Cas12a Systems for efficient genome editing and large genomic fragment deletions in Aspergillus niger ( Read More )
NOVEMBER 18, 2024 Conference Paper Extending Power of Nature from Binary Problems to Real-Valued Graph Learning in Real World ( Read More )
OCTOBER 17, 2024 Conference Paper AGS-GNN: Attribute-guided Sampling for Graph Neural Networks ( Read More )
OCTOBER 12, 2024 Report Developing a pipeline to expand the genetic code of diverse bacteria for microbial engineering ( Read More )
SEPTEMBER 19, 2024 Conference Paper Fast Parallel Tensor Times Same Vector for Hypergraphs ( Read More )
AUGUST 7, 2024 Conference Paper Red-QAOA: Efficient Variational Optimization through Circuit Reduction ( Read More )