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Graphsite: ligand-binding site classification using deep graph neural network
🌐 90 Days
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- NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network
- Graph Node Classification to Predict Autism Risk in Genes
- Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN)
- Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network
- Evolutionary trajectory of TRPM2 channel activation by adenosine diphosphate ribose and calcium
- Using dynamic spatio-temporal graph pooling network for identifying autism spectrum disorders in spontaneous functional infrared spectral sequence signals
- BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis
- NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features
- Inference of gene regulatory networks based on directed graph convolutional networks
- Protein Engineering with Lightweight Graph Denoising Neural Networks
- A bupropion modulatory site in Gloeobacter violaceus ligand-gated ion channel
- A new paradigm for applying deep learning to protein-ligand interaction prediction
- Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans
- Temporal Dynamic Synchronous Functional Brain Network for Schizophrenia Classification and Lateralization Analysis
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Contrastive Graph Pooling for Explainable Classification of Brain Networks
- Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability
- A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System
- Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach
- Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis
- Super-resolution of diffusion-weighted images using space-customized learning model
- Graph Artificial Intelligence in Medicine
- Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification
- Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification
- Classification of Caries Based on CBCT: A Deep Learning Network Interpretability Study
- Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions
- Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads
- Deep learning for structure based drug discovery
- An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model
- COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal
- Similar Binding Modes of cGMP Analogues Limit Selectivity in Modulating Retinal CNG Channels via the Cyclic Nucleotide-Binding Domain
- The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks
- Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units
- MS-BACL: enhancing metabolic stability prediction through bond graph augmentation and contrastive learning
- Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer's Disease Detection
- An ingenious deep learning approach for pressure injury depth evaluation with limited data
- Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality
- A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
- Boxing behavior recognition based on artificial intelligence convolutional neural network with sports psychology assistant
- Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks
- Dense Sample Deep Learning
- Dense Sample Deep Learning
- Effects of local reduction of endogenous α-synuclein using antisense oligonucleotides on the fibril-induced propagation of pathology through the neural network in wild-type mice
- MGCNSS: miRNA-disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy
- Treatment of flexibility of protein backbone in simulations of protein-ligand interactions using steered molecular dynamics
- Kainate receptor channel opening and gating mechanism
- An Artificial Intelligence Driven Approach for Classification of Ophthalmic Images using Convolutional Neural Network: An Experimental Study
- Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery
- A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivity
- Artificial Intelligence-Based Non-invasive Differentiation of Distinct Histologic Subtypes of Renal Tumors With Multiphasic Multidetector Computed Tomography
- Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis
- Robust and replicable functional brain signatures of 22q11.2 deletion syndrome and associated psychosis: a deep neural network-based multi-cohort study
- 1,4-Pyrazolyl-containing SAFit-analogues are selective FKBP51 inhibitors with improved ligand efficiency and drug-like profile
- 1,4-Pyrazolyl-containing SAFit-analogues are selective FKBP51 inhibitors with improved ligand efficiency and drug-like profile
- Enhanced patient-based real-time quality control using the graph-based anomaly detection
- Triple Generative Self-Supervised Learning Method for Molecular Property Prediction
- Allosteric modulation of serotonin and dopamine transporters: New insights from computations and experiments
- Allosteric modulation of serotonin and dopamine transporters: New insights from computations and experiments
- Allosteric modulation of serotonin and dopamine transporters: New insights from computations and experiments
Evidence Blueprint
Graphsite: ligand-binding site classification using deep graph neural network
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More Evidence
Graphsite: ligand-binding site classification using deep graph neural network
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder
- NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network
- Graph Node Classification to Predict Autism Risk in Genes
- Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN)
- Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network
- Evolutionary trajectory of TRPM2 channel activation by adenosine diphosphate ribose and calcium
- Using dynamic spatio-temporal graph pooling network for identifying autism spectrum disorders in spontaneous functional infrared spectral sequence signals
- Determination of the Cannabinoid CB1 Receptor's Positive Allosteric Modulator Binding Site through Mutagenesis Studies
- BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis
- NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification
- Mood Disorder Severity and Subtype Classification Using Multimodal Deep Neural Network Models
- Regional-asymmetric Adaptive Graph Convolutional Neural Network for Diagnosis of Autism in Children with Resting-state EEG
- Interpretation of deep non-linear factorization for autism
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification
- Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features
- Inference of gene regulatory networks based on directed graph convolutional networks
- Ligand selectivity hotspots in serotonin GPCRs
- Protein Engineering with Lightweight Graph Denoising Neural Networks
- A bupropion modulatory site in Gloeobacter violaceus ligand-gated ion channel
- A new paradigm for applying deep learning to protein-ligand interaction prediction
- Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans
- Temporal Dynamic Synchronous Functional Brain Network for Schizophrenia Classification and Lateralization Analysis
- Linear Classification of Neural Manifolds with Correlated Variability
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Contrastive Graph Pooling for Explainable Classification of Brain Networks
- Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability
- Multi-Scale Dynamic Graph Learning for Brain Disorder Detection with Functional MRI
- The Dynamical Biomarkers in Functional Connectivity of Autism Spectrum Disorder Based on Dynamic Graph Embedding
- Multi feature fusion network for schizophrenia classification and abnormal brain network recognition
- A 3D convolutional neural network to classify subjects as Alzheimer's disease, frontotemporal dementia or healthy controls using brain 18F-FDG PET
- Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis
- A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System
- Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach
- Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach
- Graph Fusion prediction of autism based on attentional mechanisms
- fNIRS-based graph frequency analysis to identify mild cognitive impairment in Parkinson's disease
- Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond
- ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler
- iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis
- Super-resolution of diffusion-weighted images using space-customized learning model
- Graph Artificial Intelligence in Medicine
- Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification
- Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification
- Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study
- Classification of Caries Based on CBCT: A Deep Learning Network Interpretability Study
- Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions
- Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads
- Deep causality variational autoencoder network for identifying the potential biomarkers of brain disorders
- Deep learning for structure based drug discovery
- Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis
- An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model
- The Nicotinic Acetylcholine Receptor and its Pentameric Homologs: Toward an Allosteric Mechanism of Signal Transduction at the Atomic Level
- COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal
- Similar Binding Modes of cGMP Analogues Limit Selectivity in Modulating Retinal CNG Channels via the Cyclic Nucleotide-Binding Domain
- Graph Neural Network on Psychological Prediction of College Students Special Education
- An Optimized Deep Learning Model for Predicting Mild Cognitive Impairment Using Structural MRI
- The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks
- Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units
- Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
- MS-BACL: enhancing metabolic stability prediction through bond graph augmentation and contrastive learning
- A fully spiking coupled model of a deep neural network and a recurrent attractor explains dynamics of decision making in an object recognition task