Graph Neural Networks: Foundation, Frontiers and Applications
- Lingfei Wu
- Peng Cui
- et al.
- 2023
- KDD 2023
Tutorial
Publications
1615 results for Machine Learning
A process-level perspective of the impact of molecular force fields on the computational screening of MOFs for carbon capture
- Conor Cleeton
- Felipe Lopes de Oliveira
- et al.
- 2023
- Energy and Environmental Science
PaperPessimistic Model Selection for Deep Reinforcement Learning
- Chao-Han Huck Yang
- Zhengling Qi
- et al.
- 2023
- UAI 2023
Conference paperAligned Diffusion Schrödinger Bridges
- Vignesh Ram Somnath
- Maria Rodriguez Martinez
- et al.
- 2023
- UAI 2023
Conference paperFederated Learning of Models Pre-Trained on Different Features with Consensus Graphs
- Tengfei Ma
- Trong Nghia Hoang
- et al.
- 2023
- UAI 2023
Conference paperAI powered, automated discovery of polymer membranes for carbon capture
- Ronaldo Giro
- Hsianghan Hsu
- et al.
- 2023
- npj Computational Materials
PaperActive learning of quantum system Hamiltonians yields query advantage
- Arkopal Dutt
- Edwin Pednault
- et al.
- 2023
- PRResearch
PaperMaxCorrMGNN: A Multi-Graph Neural Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
- Niharika DSouza
- Hongzhi Wang
- et al.
- 2023
- ICML 2023
Workshop paperFederated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
- Zheng Xu
- Peter Kairouz
- et al.
- 2023
- ICML 2023
WorkshopWrapping Up Offline RL as part of AutoMLPipeline Workflow
- 2023
- JuliaCon 2023
Talk