More from the Same Authors

• 2022 : GraphWorld: Fake Graphs BringReal Insights for GNNs »
  John Palowitch · Anton Tsitsulin · Bryan Perozzi · Brandon Mayer
• 2022 : Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank »
  Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong
• 2022 Spotlight: Machine Learning on Graphs: A Model and Comprehensive Taxonomy »
  Ines Chami · Sami Abu-El-Haija · Bryan Perozzi · Christopher Ré · Kevin Murphy
• 2022 Poster: Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank »
  Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong
• 2022 Poster: Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks »
  Minji Yoon · John Palowitch · Dustin Zelle · Ziniu Hu · Ruslan Salakhutdinov · Bryan Perozzi
• 2022 Poster: Machine Learning on Graphs: A Model and Comprehensive Taxonomy »
  Ines Chami · Sami Abu-El-Haija · Bryan Perozzi · Christopher Ré · Kevin Murphy
• 2022 Expo Workshop: Graph Neural Networks in Tensorflow: A Practical Guide »
  Bryan Perozzi · Sami A Abu-El-Haija · Neslihan Bulut · Brandon Mayer
• 2021 Poster: Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data »
  Qi Zhu · Natalia Ponomareva · Jiawei Han · Bryan Perozzi
• 2020 : GNNs and Graph Embeddings »
  Bryan Perozzi
• 2020 Expo Workshop: Mining and Learning with Graphs at Scale »
  Vahab Mirrokni · Bryan Perozzi · Jakub Lacki · Jonathan Halcrow · Jaqui C Herman