- Inductive Representation Learning on Large Graphs
- Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
- Protein Interface Prediction using Graph Convolutional Networks
- Learning Graph Representations with Embedding Propagation
- Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
- Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
- Geometric deep learning on graphs and manifolds using mixture model CNNs
- Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
- The More You Know: Using Knowledge Graphs for Image Classification
- Graph-Structured Representations for Visual Question Answering
- Semi-Supervised Classification with Graph Convolutional Networks
- Learning Graphical State Transitions