Learning skillful medium-range global weather forecasting

R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger… - Science, 2023 - science.org
Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …

Depgraph: Towards any structural pruning

G Fang, X Ma, M Song, MB Mi… - Proceedings of the …, 2023 - openaccess.thecvf.com
Structural pruning enables model acceleration by removing structurally-grouped parameters
from neural networks. However, the parameter-grou** patterns vary widely across …

Foundations & trends in multimodal machine learning: Principles, challenges, and open questions

PP Liang, A Zadeh, LP Morency - ACM Computing Surveys, 2024 - dl.acm.org
Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design
computer agents with intelligent capabilities such as understanding, reasoning, and learning …

The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey

J Vatter, R Mayer, HA Jacobsen - ACM Computing Surveys, 2023 - dl.acm.org
Graph neural networks (GNNs) are an emerging research field. This specialized deep
neural network architecture is capable of processing graph structured data and bridges the …

Large language models on graphs: A comprehensive survey

B **, G Liu, C Han, M Jiang, H Ji… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Everything is connected: Graph neural networks

P Veličković - Current Opinion in Structural Biology, 2023 - Elsevier
In many ways, graphs are the main modality of data we receive from nature. This is due to
the fact that most of the patterns we see, both in natural and artificial systems, are elegantly …

Machine learning for a sustainable energy future

Z Yao, Y Lum, A Johnston, LM Mejia-Mendoza… - Nature Reviews …, 2023 - nature.com
Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it
demands advances—at the materials, devices and systems levels—for the efficient …

Multi-omics single-cell data integration and regulatory inference with graph-linked embedding

ZJ Cao, G Gao - Nature Biotechnology, 2022 - nature.com
Despite the emergence of experimental methods for simultaneous measurement of multiple
omics modalities in single cells, most single-cell datasets include only one modality. A major …