Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: When Work Matters: Transforming Classical Network Structures to Graph CNN
Deep Convolutional Networks on Graph-Structured Data
Self-Organizing Graphs - A Neural Network Perspective of Graph Layout
Tied Kronecker Product Graph Models to Capture Variance in Network Populations
How Powerful are Graph Neural Networks?
Convolutional Neural Network Architectures for Signals Supported on Graphs
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
DeepGraph: Graph Structure Predicts Network Growth
Spectral Networks and Deep Locally Connected Networks on Graphs
Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution
The Graph Neural Network Model
attention models in graphs : a survey .
Dynamic Filters in Graph Convolutional Networks
Dual-Primal Graph Convolutional Networks
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Higher-order Graph Convolutional Networks
On representation power of neural network-based graph embedding and beyond
Attributed graph models: modeling network structure with correlated attributes
Graph-to-Sequence Learning using Gated Graph Neural Networks
Can GAN Learn Topological Features of a Graph?
A Comparison between Recursive Neural Networks and Graph Neural Networks
Deep Neural Networks Under Stress
Multi-column Deep Neural Networks for Image Classification
Asynchronous Adiabatic Logic
HERBAL PLANTS USED IN TREATMENT OF RHEUMATOID ARTHRITIS : A REVIEW
MatchSim: a novel similarity measure based on maximum neighborhood matching