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06/29/2023
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting
Graph neural networks (GNNs) have been widely applied in multi-variate t...
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06/21/2023
Neural Multigrid Memory For Computational Fluid Dynamics
Turbulent flow simulation plays a crucial role in various applications, ...
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05/12/2023
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
Modeling and simulations of pandemic dynamics play an essential role in ...
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02/17/2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs
Latent representations of drugs and their targets produced by contempora...
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02/17/2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures
Contemporary graph learning algorithms are not well-defined for large mo...
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02/17/2023
Fast Temporal Wavelet Graph Neural Networks
Spatio-temporal signals forecasting plays an important role in numerous ...
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01/27/2023
On the Connection Between MPNN and Graph Transformer
Graph Transformer (GT) recently has emerged as a new paradigm of graph l...
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01/25/2023
ViDeBERTa: A powerful pre-trained language model for Vietnamese
This paper presents ViDeBERTa, a new pre-trained monolingual language mo...
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05/31/2022
Learning to Represent Programs with Code Hierarchies
Graph neural networks have been shown to produce impressive results for ...
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05/30/2022
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction
In this paper, we introduce Temporal Multiresolution Graph Neural Networ...
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11/02/2021
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs
Multiresolution Matrix Factorization (MMF) is unusual amongst fast matri...
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06/02/2021
Multiresolution Graph Variational Autoencoder
In this paper, we propose Multiresolution Graph Networks (MGN) and Multi...
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04/08/2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders
Previous work on symmetric group equivariant neural networks generally o...
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06/06/2019