Our work focuses on exploring different machine learning approaches for graph data. Occasionally we explore other related areas.

Language could be an important part of artificial general intelligence

How to use the Learning Rate Finder in TensorFlow

Calls for research

A simple explanation of the Inception score

Finding shortest paths with Graph Networks

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?