- Link Prediction Based on Graph Neural Networks
- Watch Your Step: Learning Graph Embeddings Through Attention
- Diffusion Maps for Textual Network Embedding
- Learning Conditioned Graph Structures for Interpretable Visual Question Answering
- Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
- Beyond Grids: Learning Graph Representations for Visual Recognition
- Symbolic Graph Reasoning Meets Convolutions
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
- Adaptive Sampling Towards Fast Graph Representation Learning
- Mean-field theory of graph neural networks in graph partitioning
- Hierarchical Graph Representation Learning with Differentiable Pooling
- Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
- Bayesian Semi-supervised Learning with Graph Gaussian Processes
- Structure-Aware Convolutional Neural Networks
- Recurrent Relational Networks
- Learning to Multitask