Our work focuses on exploring different machine learning approaches for graph data. Occasionally we explore other related areas.
Graphs and neural networks: Reading node properties
Answering questions using graphs and sequence translation
Neural Graph Memory
Our mission statement
CLEVR graph: A dataset for graph based reasoning
Review prediction with Neo4j and TensorFlow
Which optimizer and learning rate should I use for deep learning?
An intro to using Keras with Neo4j
Learning multiple tasks with gradient descent