Search Results for author: Brandon Mayer

Found 4 papers, 2 papers with code

HUGE: Huge Unsupervised Graph Embeddings with TPUs

no code implementations26 Jul 2023 Brandon Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi

A high-performance graph embedding architecture leveraging Tensor Processing Units (TPUs) with configurable amounts of high-bandwidth memory is presented that simplifies the graph embedding problem and can scale to graphs with billions of nodes and trillions of edges.

Graph Embedding Link Prediction

GraphWorld: Fake Graphs Bring Real Insights for GNNs

1 code implementation28 Feb 2022 John Palowitch, Anton Tsitsulin, Brandon Mayer, Bryan Perozzi

Using GraphWorld, a user has fine-grained control over graph generator parameters, and can benchmark arbitrary GNN models with built-in hyperparameter tuning.

Benchmarking

Kartta Labs: Collaborative Time Travel

no code implementations7 Oct 2020 Sasan Tavakkol, Feng Han, Brandon Mayer, Mark Phillips, Cyrus Shahabi, Yao-Yi Chiang, Raimondas Kiveris

We introduce the modular and scalable design of Kartta Labs, an open source, open data, and scalable system for virtually reconstructing cities from historical maps and photos.

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