IEEE

PimBeam: Efficient Regular Path Queries Over Graph Database Using Processing-in-Memory

Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...
GitHub

Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics - AAAI 2026 Oral

python=3.11.11 pytorch-lightning==2.4.0 torch==2.4.1+cu121 torchvision==0.19.1+cu121 More details of our environments are provided in dkan.yaml. All data used in this study is available at Huggingface ...
C&EN

Transition Path Sampling Guided by Structural Motifs

Cardiovascular Research Institute, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States Graduate Group in Biophysics, ...
IEEE

Anomaly Detection Over Multi-Relational Graphs Using Graph Structure Learning and Multi-Scale Meta-Path Graph Aggregation

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...
C&EN

SFMMoE: A Semi-Empirical Descriptor-Augmented Multi-Expert Graph Neural Network for Accurate Prediction of Singlet Fission Properties

Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai Frontiers Science Center of Molecule Intelligent Syntheses, School of Chemistry and Molecular ...