Google Graph Mining And Learning Google Graph Mining And Learning

Google Graph Mining And Learning Google Graph Mining And Learning Information Guide

1. Overview of Google Graph Mining And Learning Google Graph Mining And Learning
2. Main Features
3. Latest News
4. Expert Insights
5. Final Thoughts

Overview of Google Graph Mining And Learning Google Graph Mining And Learning

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, Alessandro Epasto presents recent advances in In this talk, Martin Blais discusses the infrastructure required to train In this talk, Alessandro Epasto reviews applications of In this talk, Jakub Łącki describes the challenges and techniques for processing trillion-edge

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 addresses the following question: how can we measure the similarity of two nodes in a In this talk, Jakub Łącki presents single-machine parallel clustering algorithms that can cluster In this talk, Amol Kapoor discusses how GNNs can be used to predict the change in COVID caseloads in US counties when ... In this short talk, we look at how clustering can be used to run better randomized experiments. Randomized experiments allow us ...

Main Features

Latest News

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

Google Graph Mining and Learning @ NeurIPS 2020: Label Propagation -- Allan Heydon

Google Graph Mining and Learning @ NeurIPS 2020: GNNs in Tensorflow -- Martin Blais

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

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

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

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

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

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

Google Graph Mining and Learning @ NeurIPS 2020: Debiasing GNNs -- John Palowitch

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

DIMACS Sublinear Workshop: Vahab Mirrokni - Large-scale Graph Mining at Google NYC

Expert Insights

Data is compiled from public records and verified media reports.

Last Updated: June 12, 2026

Final Thoughts

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