4 papers · 1 filter
Demographically-Informed Heat-Mortality Risk Curves via Risk Graph Neural Networks
Alex O. Davies, Eunice Lo, Rui Zhu
Estimating heat-related mortality risk is a core task in environmental epidemiology, typically addressed with Distributed Lag Non-linear Models (DLNMs); interpretable exposure-resp…
A Metric for the Balance of Information in Graph Learning
Alex O. Davies, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho
Graph learning on molecules makes use of information from both the molecular structure and the features attached to that structure. Much work has been conducted on biasing either t…
Topology Only Pre-Training: Towards Generalised Multi-Domain Graph Models
Alex O. Davies, Riku W. Green, Nirav S. Ajmeri +1
The principal benefit of unsupervised representation learning is that a pre-trained model can be fine-tuned where data or labels are scarce. Existing approaches for graph represent…
Size Matters: Large Graph Generation with HiGGs
Alex O. Davies, Nirav S. Ajmeri, Telmo M. Silva Filho
Large graphs are present in a variety of domains, including social networks, civil infrastructure, and the physical sciences to name a few. Graph generation is similarly widespread…