Tag: Graph Neural Networks

AI Machine Learning & Data Science Research

UBC, Google & Amii’s Exphormer: Scaling Graph Transformers While Slashing Costs

In the new paper Exphormer: Sparse Transformers for Graphs, a team from the University of British Columbia, Google Research and the Alberta Machine Intelligence Institute proposes Exphormer, a class of graph transformers with improved scalability and reduced computational complexity that achieves state-of-the-art performance on graph benchmarks.

AI Machine Learning & Data Science Research

DeepMind & Google’s ML-Based GraphCast Outperforms the World’s Best Medium-Range Weather Forecasting System

In the new paper GraphCast: Learning Skillful Medium-Range Global Weather Forecasting, a research team from DeepMind and Google presents GraphCast, a machine-learning (ML)-based weather simulator that scales well with data and can generate a 10-day forecast in under 60 seconds. GraphCast outperforms the world’s most accurate deterministic operational medium-range weather forecasting system and betters existing ML-based benchmarks.