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, Allan Heydon describes one of

In this talk, Jakub Łącki presents

In this talk, Bryan Perozzi presents an overview of

In this talk, Jonathan Halcrow discusses the Grale

In this talk, Vahab Mirrokni, the founder of the

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, 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, Jakub Łącki presents single-machine parallel clustering algorithms that can cluster

In this talk, Alessandro Epasto addresses the following question: how can we measure the similarity of two nodes in a

In this talk, Amol Kapoor discusses how GNNs can be used to predict the change in COVID caseloads in US counties when ...

Vahab Mirrokni of

In this talk, John Palowitch talks about a training-time projection for debiasing

In this short talk, we look at how clustering can be used to run better randomized experiments. Randomized experiments allow us ...