
Weisfeiler and Lehman Go Cellular: CW Networks
Graph Neural Networks (GNNs) are limited in their expressive power, stru...
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Anomaly Detection in Dynamic Graphs via Transformer
Detecting anomalies for dynamic graphs has drawn increasing attention du...
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Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
The pairwise interaction paradigm of graph machine learning has predomin...
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Decimated Framelet System on Graphs and Fast GFramelet Transforms
Graph representation learning has many realworld applications, from sup...
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On the Approximation Lower Bound for Neural Nets with Random Weights
A random net is a shallow neural network where the hidden layer is froze...
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Graph Neural Networks with Haar TransformBased Convolution and Pooling: A Complete Guide
Graph Neural Networks (GNNs) have recently caught great attention and ac...
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Distributed Learning via Filtered Hyperinterpolation on Manifolds
Learning mappings of data on manifolds is an important topic in contempo...
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Path Integral Based Convolution and Pooling for Graph Neural Networks
Graph neural networks (GNNs) extends the functionality of traditional ne...
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Deep Learning Based Unsupervised and Semisupervised Classification for Keratoconus
The transparent cornea is the window of the eye, facilitating the entry ...
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CosmoVAE: Variational Autoencoder for CMB Image Inpainting
Cosmic microwave background radiation (CMB) is critical to the understan...
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Distributed filtered hyperinterpolation for noisy data on the sphere
Problems in astrophysics, space weather research and geophysics usually ...
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HaarPooling: Graph Pooling with Compressive Haar Basis
Deep Graph Neural Networks (GNNs) are instrumental in graph classificati...
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FaVeST: Fast Vector Spherical Harmonic Transforms
Vector spherical harmonics on S^2⊂R^3 have wide applications in geophysi...
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Optimizationbased quasiuniform spherical tdesign and generalized multitaper for complex physiological time series
Motivated by the demand to analyze complex physiological time series, we...
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Fast Tensor Needlet Transforms for Tangent Vector Fields on the Sphere
This paper constructs a semidiscrete tight frame of tensor needlets ass...
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Haar Transforms for Graph Neural Networks
Graph Neural Networks (GNNs) have become a topic of intense research rec...
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Analysis of Framelet Transforms on a Simplex
In this paper, we construct framelets associated with a sequence of quad...
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Yu Guang Wang
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