Bryan Perozzi
Research Areas
Authored Publications
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General Geospatial Inference with a Population Dynamics Foundation Model
Chaitanya Kamath
Prithul Sarker
Joydeep Paul
Yael Mayer
Sheila de Guia
Jamie McPike
Adam Boulanger
David Schottlander
Yao Xiao
Manjit Chakravarthy Manukonda
Monica Bharel
Von Nguyen
Luke Barrington
Niv Efron
Krish Eswaran
Shravya Shetty
(2024) (to appear)
Tackling Provably Hard Representative Selection via Graph Neural Networks
Transactions on Machine Learning Research (2023)
Learning Large Graph Property Prediction via Graph Segment Training
Kaidi Cao
Mangpo Phothilimthana
Charith Mendis
Jure Leskovec
Advances in Neural Information Processing Systems (2023)
Unsupervised Embedding Quality Evaluation
Marina Munkhoeva
Topology, Algebra, and Geometry in Machine Learning (2023)
HUGE: Huge Unsupervised Graph Embeddings with TPUs
SIGKDD Conference on Knowledge Discovery and Data Mining, ACM (2023) (to appear)
SubMix: Learning to Mix Graph Sampling Heuristics
Josh Dillon
Johannes Gasteiger
2023
TpuGraphs: Performance Prediction Datasets on Large Tensor Computational Graphs
Mangpo Phothilimthana
Kaidi Cao
Charith Mendis
Advances in Neural Information Processing Systems (2023)
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Chris Ré
Journal of Machine Learning Research, 23 (2022), pp. 1-64
