 Simplifying Distributed Neural Network Training on Massive Graphs:
Randomized Partitions Improve Model AggregationACM Transactions on Knowledge Discovery from Data (TKDD), 2023 |
 Distributed Graph Neural Network Training: A SurveyACM Computing Surveys (ACM CSUR), 2022 |
 Learn Locally, Correct Globally: A Distributed Algorithm for Training
Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2021 |
 GNNAutoScale: Scalable and Expressive Graph Neural Networks via
Historical EmbeddingsInternational Conference on Machine Learning (ICML), 2021 |
