Our work focuses on exploring different machine learning approaches for graph data. Occasionally we explore other related areas.
How to get started with machine learning on graphs
Deep Learning with Knowledge Graphs
Towards building the next generation database query engine
Element-wise multiplication can out-perform dense layers
Attention is not quite all you need
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
Learning multiple tasks with gradient descent
An intro to using Keras with Neo4j
Which optimizer and learning rate should I use for deep learning?