Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Chemical structure recognition and prediction: A machine learning technique
Markov Logic Networks for Optical Chemical Structure Recognition
Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
ChemGrab : Identification of Chemical Names Using a Combined Negative-Dictionary and Rule-Based Approach
Chemlistem: chemical named entity recognition using recurrent neural networks
PROTEIN STRUCTURE PREDICTION BY MEANS OF SEQUENTIAL PATTERN MINING
Deep Learning Approach for Secondary Structure Protein Prediction based on First Level Features Extraction using a Latent CNN Structure
Chemical crystal identification with deep learning machine vision
Semi-supervised learning of hierarchical representations of molecules using neural message passing
MoleculeNet : A Benchmark for Molecular Machine Learning
SMILES2vec: Predicting Chemical Properties from Text Representations
a machine learning information retrieval approach to protein fold recognition .
neural - symbolic machine learning for retrosynthesis and reaction prediction .
Modelling Chemical Reasoning to Predict Reactions
Deep Learning for Computational Chemistry
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks
Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction
Chemi-net: a graph convolutional network for accurate drug property prediction
Practical graph isomorphism, II
Power quality improvement of a single-phase grid-connected PV system with fuzzy MPPT controller
Understanding and Combating Link Farming in the Twitter Social Network
Unsupervised Feature Selection for Multi-View Data in Social Media
reverse engineering and evaluation of prediction models for progression to type 2 diabetes : an application of machine learning using electronic health records .