Graph Neural Processes: Towards Bayesian Graph Neural Networks

26 February 2019

Papers citing "Graph Neural Processes: Towards Bayesian Graph Neural Networks"

5 / 5 papers shown

Title
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 63 24 0 01 Sep 2022
How Neural Processes Improve Graph Link Prediction Huidong Liang Junbin Gao AI4CE 20 13 0 30 Sep 2021
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 263 1,400 0 01 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016