Rex Ying
Rex Ying is an assistant professor at Yale University. His research areas include algorithms for graph neural networks, geometric embeddings and explainable models.
He is the author of many widely used GNN algorithms such as GraphSAGE, PinSAGE and GNNExplainer.
He serves as the area chair for LoG 2022.
He is the lead organizer for the Simulation for Deep Learning Workshop in ICLR 2021, and co-organized the graph representation learning workshop in ICML 2020 and Stanford Graph Learning Workshop in 2021.
Tempus ullamcorper
Aenean ornare velit lacus, ac varius enim lorem ullamcorper dolore. Proin aliquam facilisis ante interdum. Sed nulla amet lorem feugiat tempus aliquam.
Sed etiam facilis
Aenean ornare velit lacus, ac varius enim lorem ullamcorper dolore. Proin aliquam facilisis ante interdum. Sed nulla amet lorem feugiat tempus aliquam.
Feugiat lorem aenean
Aenean ornare velit lacus, ac varius enim lorem ullamcorper dolore. Proin aliquam facilisis ante interdum. Sed nulla amet lorem feugiat tempus aliquam.
Amet varius aliquam
Aenean ornare velit lacus, ac varius enim lorem ullamcorper dolore. Proin aliquam facilisis ante interdum. Sed nulla amet lorem feugiat tempus aliquam.
