Neural Approximation of Graph Topological Features
- Zuoyu Yan
- Tengfei Ma
- et al.
- 2022
- NeurIPS 2022
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
Date
Featured collections
Popular topics
- Machine Learning
1328 results for Machine Learning
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning
- Sixing Yu
- Phuong Nguyen
- et al.
- 2022
- SC 2022
SIMPPO: A Scalable and Incremental Online Learning Framework for Serverless Resource Management
- Haoran Qiu
- Weichao Mao
- et al.
- 2022
- SoCC 2022
A Scalable AutoML Approach Based on Graph Neural Networks
- Mossad Helali
- Essam Mansour
- et al.
- 2022
- VLDB 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- ACS Fall 2022
Combining physics-based modeling and graph neural networks for drug discovery
- 2022
- ACS Fall 2022
Bridging the gap between rule-based expert systems and machine learning in computer-aided retrosynthetic design
- Daniel Probst
- Anastasia Sveshnikova
- et al.
- 2022
- ACS Fall 2022
Combining high-quality, humanly curated data with language models: the dawn of on-demand machine learning models for digital chemistry
- Alain Vaucher
- Fiona Shortt de Hernandez
- et al.
- 2022
- ACS Fall 2022
Deep learning assisted Suzuki cross coupling catalyst design
- Oliver Schilter
- Federico Zipoli
- et al.
- 2022
- ACS Fall 2022
Augmented disconnection aware retrosynthesis to facilitate user interaction
- Amol Thakkar
- Andrea Antonia Byekwaso
- et al.
- 2022
- ACS Fall 2022