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Dentity and Pose Disentanglement in Generative Adversarial Networks
Hypernetwork Knowledge Graph Embeddings
Signed Graph Attention Networks
Graph Classification with 2D Convolutional Neural Networks
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network
Temporal Coding of Neural Stimuli
Heterogeneous Information Network Embedding with Meta-path-based Graph Attention Networks
Dual-FOFE-net Neural Models for Entity Linking with PageRank
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition
Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes
CNN-Based Semantic Change Detection in Satellite Imagery
Axiomatic Kernels on Graphs for Support Vector Machines
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
Neural Network Guided Tree-Search Policies for Synthesis Planning
LSTM and 1-D Convolutional Neural Networks for predictive monitoring of the anaerobic digestion process
Progressive Docking
a Deep Learning Based Approach for Accelerated Virtual Screening
Predictive Power of Time-series Based Machine Learning Models for DMPK Measurements in Drug Discovery
Improving Deep Generative Models with Randomized SMILES
Attention and Edge Memory Convolution for Bioactivity Prediction
Application of materials informatics tools to the analysis of combinatorial libraries of all metal-oxides photovoltaic cells
Analysis and Modelling of False Positives in GPCR Assays
Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach
Using an Autoencoder for Dimensionality Reduction in Quantum Dynamics
Conformational Oversampling as Data Augmentation for Molecules
Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks
Deep Neural Network Architecture f or Drug-Target Interaction Prediction
Mol-CycleGAN
a generative model for molecular optimization
A TRANSFORMER MODEL FOR RETROSYNTHESIS
Augmentation is What You Need!
Diversify Libraries Using Generative Topographic Mapping
Detection of Frequent-Hitters across various HTS Technologies
Message Passing Neural Networks scoring functions for structure-based drug discovery.
Hypernetwork Knowledge Graph Embeddings
Signed Graph Attention Networks
Graph Classification with 2D Convolutional Neural Networks
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network
Temporal Coding of Neural Stimuli
Heterogeneous Information Network Embedding with Meta-path-based Graph Attention Networks
Dual-FOFE-net Neural Models for Entity Linking with PageRank
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition
Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes
CNN-Based Semantic Change Detection in Satellite Imagery
Axiomatic Kernels on Graphs for Support Vector Machines
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
Neural Network Guided Tree-Search Policies for Synthesis Planning
LSTM and 1-D Convolutional Neural Networks for predictive monitoring of the anaerobic digestion process
Progressive Docking
a Deep Learning Based Approach for Accelerated Virtual Screening
Predictive Power of Time-series Based Machine Learning Models for DMPK Measurements in Drug Discovery
Improving Deep Generative Models with Randomized SMILES
Attention and Edge Memory Convolution for Bioactivity Prediction
Application of materials informatics tools to the analysis of combinatorial libraries of all metal-oxides photovoltaic cells
Analysis and Modelling of False Positives in GPCR Assays
Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach
Using an Autoencoder for Dimensionality Reduction in Quantum Dynamics
Conformational Oversampling as Data Augmentation for Molecules
Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks
Deep Neural Network Architecture f or Drug-Target Interaction Prediction
Mol-CycleGAN
a generative model for molecular optimization
A TRANSFORMER MODEL FOR RETROSYNTHESIS
Augmentation is What You Need!
Diversify Libraries Using Generative Topographic Mapping
Detection of Frequent-Hitters across various HTS Technologies
Message Passing Neural Networks scoring functions for structure-based drug discovery.