Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

A Milton Keynes teacher has won a prestigious award for her groundbreaking new resource that aims to bring maths to life for secondary school pupils, reducing anxiety and making concepts easier to ...

Contrastive learning has been widely used in graph representation learning, which extracts node or graph representations by contrasting positive and negative node pairs. It requires node ...