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Hedi Xia

2 accepted papers

2022

GRAND++: Graph Neural Diffusion with A Source Term

ICLR 2022poster

We propose GRAph Neural Diffusion with a source term (GRAND++) for graph deep learning with a limited number of labeled nodes, i.e., low-labeling rate. GRAND++ is a class of continuous-depth graph deep learning architectures whose theoretical underpinning is the diffusion process on graphs with a so…

Cited by 96SourcePDFScholar
2021

Heavy Ball Neural Ordinary Differential Equations

NeurIPS 2021poster

We propose heavy ball neural ordinary differential equations (HBNODEs), leveraging the continuous limit of the classical momentum accelerated gradient descent, to improve neural ODEs (NODEs) training and inference. HBNODEs have two properties that imply practical advantages over NODEs: (i) The adjoi…