Google Graph Mining And Learning

Google Graph Mining And Learning Information Guide

1. Overview on Google Graph Mining And Learning
2. Core Information
3. History
4. Full Guide
5. Conclusion

Overview on Google Graph Mining And Learning

In this talk, Martin Blais discusses the infrastructure required to train In this talk, Alessandro Epasto reviews applications of In this talk, Bryan Perozzi presents an overview of In this talk, Amol Kapoor talks about some of the challenges with running GNNs at scale, and presents a solution called PPRGo. In this talk, Vahab Mirrokni provides an overview of clustering at scale. The talk starts with affinity hierarchical clustering, which ... In this talk, Alessandro Epasto presents recent advances in

In this talk, Jakub Łącki describes the challenges and techniques for processing trillion-edge This full course provides a complete introduction to In this talk, Alessandro Epasto addresses the following question: how can we measure the similarity of two nodes in a

Core Information

History

Google Graph Mining and Learning @ NeurIPS 2020: GNNs and Graph Embeddings -- Bryan Perozzi

Google Graph Mining and Learning @ NeurIPS 2020: Introduction -- Vahab Mirrokni

Google Graph Mining and Learning @ NeurIPS 2020: Community Detection -- Jakub “Kuba” Łącki

Google Graph Mining and Learning @ NeurIPS 2020: Scaling GNNs - Amol Kapoor

Google Graph Mining and Learning @ NeurIPS 2020: Scalable Clustering -- Vahab Mirrokni

Google Graph Mining and Learning @ NeurIPS 2020: Multiembeddings -- Alessandro Epasto

Google Graph Mining and Learning @ NeurIPS 2020: Distributed Graph Mining -- Jakub “Kuba” Łącki

Algorithms Course - Graph Theory Tutorial from a Google Engineer

Google Graph Mining and Learning @ NeurIPS 2020: Similarity Ranking -- Alessandro Epasto

Full Guide

Data is compiled from public records and verified media reports.

Last Updated: June 8, 2026

Conclusion

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.