Topology-driven pre-training for robust molecular property prediction models
- Aldo Guzmán-Sáenz
- Sanjoy Dey
- et al.
- 2023
- ACS Fall 2023
Publications
1594 results for Machine Learning
Accelerated Electrolyte Discovery using Data Driven Approach
- 2023
- ACS Fall 2023
Standardizing chemical compounds with language models
- Miruna T Cretu
- Alessandra Toniato
- et al.
- 2023
- Machine Learning: Science and Tech.
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
- Dingsu Wang
- Yuchen Yan
- et al.
- 2023
- KDD 2023
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- Tsuyoshi Idé
- Naoki Abe
- 2023
- KDD 2023
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
- Arindam Jati
- Vijay Ekambaram
- et al.
- 2023
- KDD 2023
Challenges in post-training quantization of Vision Transformers
- Piotr Sebastian Kluska
- Florian Scheidegger
- et al.
- 2023
- KDD 2023
The Tenth International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD‘23)
- Lingfei Wu
- Jiliang Tang
- et al.
- 2023
- KDD 2023
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond
- Naoki Abe
- Kathleen Buckingham
- et al.
- 2023
- KDD 2023
Graph Neural Networks: Foundation, Frontiers and Applications
- Lingfei Wu
- Peng Cui
- et al.
- 2023
- KDD 2023