Structure‐Enhanced Graph Learning Approach for Traffic Flow and Density Forecasting
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.70012
Abstract: The rapid expansion of Internet infrastructure and artificial intelligence (AI) has significantly advanced intelligent transportation systems (ITS), which are considered as essential for automating traffic monitoring and management in smart cities. Among ITS applications, traffic… read more here.
Keywords: enhanced graph; forecasting; flow density; traffic flow ... See more keywords
Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.3c00045
Abstract: Artificial Intelligence (AI) techniques are of great potential to fundamentally change antibiotic discovery industries. Efficient and effective molecular featurization is key to all highly accurate learning models for antibiotic discovery. In this paper, we propose… read more here.
Keywords: fingerprint enhanced; enhanced graph; antibiotic discovery; model ... See more keywords
An enhanced graph state distribution method for quantum networks
Sign Up to like & getrecommendations! Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/adbe16
Abstract: Multi-particle entanglement state distribution is a crucial component for executing the quantum communication or computation protocols over quantum networks, and the graph state is an important class of multi-particle entanglement states. If the graph states… read more here.
Keywords: state distribution; enhanced graph; quantum networks; graph state ... See more keywords
Chemical reaction enhanced graph learning for molecule representation
Sign Up to like & getrecommendations! Published in 2024 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btae558
Abstract: Abstract Motivation Molecular representation learning (MRL) models molecules with low-dimensional vectors to support biological and chemical applications. Current methods primarily rely on intrinsic molecular information to learn molecular representations, but they often overlook effectively integrating… read more here.
Keywords: reaction; molecule; enhanced graph; representation ... See more keywords
Spectrum-Enhanced Graph Attention Network for Garment Mesh Deformation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2025.3570523
Abstract: We present a novel solution for mesh-based deformation simulation from a spectral perspective. Unlike existing approaches that demand separate training for each garment or body type and often struggle to produce rich folds and lifelike… read more here.
Keywords: spectrum enhanced; deformation; enhanced graph; network ... See more keywords
R2eGIN: Residual Reconstruction Enhanced Graph Isomorphism Network for Accurate Prediction of Poly (ADP–Ribose) Polymerase Inhibitors
Sign Up to like & getrecommendations! Published in 2025 at "Bioinformatics and Biology Insights"
DOI: 10.1177/11779322251366087
Abstract: An advanced graph neural network (GNN) is of great promise to facilitate predicting Poly ADPribose polymerase inhibitors (PARPi). Recent studies design models by leveraging graph representations and molecular descriptor representations, unfortunately, still face challenges in… read more here.
Keywords: residual reconstruction; enhanced graph; reconstruction enhanced; graph isomorphism ... See more keywords