Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Modeling Polypharmacy Side Effects with Graph Convolutional Networks
Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects
Massively Multitask Networks for Drug Discovery
Deep Convolutional Networks on Graph-Structured Data
TOWARDS A SPECTRUM OF GRAPH CONVOLUTIONAL NETWORKS
Stochastic Training of Graph Convolutional Networks with Variance Reduction
Sparse Nonparametric Graphical Models
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs
Composing graphical models with neural networks for structured representations and fast inference
Neural Network for Graphs: A Contextual Constructive Approach
Dynamic Filters in Graph Convolutional Networks
Improving Graph Convolutional Networks with Non-Parametric Activation Functions
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Graph Neural Networks: A Review of Methods and Applications
GRAM: Graph-based Attention Model for Healthcare Representation Learning
A Comprehensive Survey on Graph Neural Networks
GraphRNN: A Deep Generative Model for Graphs
Data-Driven Prediction of Drug Effects and Interactions
A Comparison between Recursive Neural Networks and Graph Neural Networks
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters
Drug drug interaction extraction from the literature using a recursive neural network
Irreflexive and Hierarchical Relations as Translations
Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data
Fully integrated 54nm STT-RAM with the smallest bit cell dimension for high density memory application
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
Design considerations for solar energy harvesting wireless embedded systems