Yu Guang Wang | DeepAI

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Hao Chen
339 publications
Ming Li
199 publications
Pietro Liò
159 publications
Liang Wang
119 publications
Xinchao Wang
104 publications
Shirui Pan
81 publications
Yanfeng Wang
79 publications
Siheng Chen
75 publications
Guido Montufar
55 publications
Zheng Ma
54 publications
Hau-tieng Wu
54 publications

∙ 07/05/2023

LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning

Currently, research on Reinforcement learning (RL) can be broadly classi...

0 Outongyi Lv, et al. ∙

∙ 06/08/2023

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction

Directed evolution plays an indispensable role in protein engineering th...

0 Yang Tan, et al. ∙

∙ 04/05/2023

Graph Representation Learning for Interactive Biomolecule Systems

Advances in deep learning models have revolutionized the study of biomol...

0 Xinye Xiong, et al. ∙

∙ 03/20/2023

EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

Learning to predict agent motions with relationship reasoning is importa...

0 Chenxin Xu, et al. ∙

∙ 02/28/2023

Framelet Message Passing

Graph neural networks (GNNs) have achieved champion in wide applications...

0 Xinliang Liu, et al. ∙

∙ 12/29/2022

SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering

Deep learning has been widely used for protein engineering. However, it ...

0 Mingchen Li, et al. ∙

∙ 08/06/2022

Oversquashing in GNNs through the lens of information contraction and graph expansion

The quality of signal propagation in message-passing graph neural networ...

0 Pradeep Kr. Banerjee, et al. ∙

∙ 06/15/2022

How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images

Gigapixel medical images provide massive data, both morphological textur...

0 Yiqing Shen, et al. ∙

∙ 06/01/2022

Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks

The research for characterizing GNN expressiveness attracts much attenti...

0 Hao Chen, et al. ∙

∙ 06/23/2021

Weisfeiler and Lehman Go Cellular: CW Networks

Graph Neural Networks (GNNs) are limited in their expressive power, stru...

8 Cristian Bodnar, et al. ∙

∙ 06/18/2021

Anomaly Detection in Dynamic Graphs via Transformer

Detecting anomalies for dynamic graphs has drawn increasing attention du...

0 Yixin Liu, et al. ∙

∙ 03/04/2021

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

The pairwise interaction paradigm of graph machine learning has predomin...

33 Cristian Bodnar, et al. ∙

∙ 12/12/2020

Decimated Framelet System on Graphs and Fast G-Framelet Transforms

Graph representation learning has many real-world applications, from sup...

14 Xuebin Zheng, et al. ∙

∙ 08/19/2020

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...

17 Sho Sonoda, et al. ∙

∙ 07/22/2020

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide

Graph Neural Networks (GNNs) have recently caught great attention and ac...

7 Xuebin Zheng, et al. ∙

∙ 07/18/2020

Distributed Learning via Filtered Hyperinterpolation on Manifolds

Learning mappings of data on manifolds is an important topic in contempo...

8 Guido Montufar, et al. ∙

∙ 06/29/2020

Path Integral Based Convolution and Pooling for Graph Neural Networks

Graph neural networks (GNNs) extends the functionality of traditional ne...

10 Zheng Ma, et al. ∙

∙ 01/31/2020

Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus

The transparent cornea is the window of the eye, facilitating the entry ...

18 Nicole Hallett, et al. ∙

∙ 01/31/2020

CosmoVAE: Variational Autoencoder for CMB Image Inpainting

Cosmic microwave background radiation (CMB) is critical to the understan...

3 Kai Yi, et al. ∙

∙ 10/06/2019

Distributed filtered hyperinterpolation for noisy data on the sphere

Problems in astrophysics, space weather research and geophysics usually ...

0 Shao-Bo Lin, et al. ∙

∙ 09/25/2019

HaarPooling: Graph Pooling with Compressive Haar Basis

Deep Graph Neural Networks (GNNs) are instrumental in graph classificati...

14 Yu Guang Wang, et al. ∙

∙ 07/31/2019

FaVeST: Fast Vector Spherical Harmonic Transforms

Vector spherical harmonics on S^2⊂R^3 have wide applications in geophysi...

0 Quoc T. Le Gia, et al. ∙

∙ 07/31/2019

Optimization-based quasi-uniform spherical t-design and generalized multitaper for complex physiological time series

Motivated by the demand to analyze complex physiological time series, we...

0 Matt Sourisseau, et al. ∙

∙ 07/31/2019

Fast Tensor Needlet Transforms for Tangent Vector Fields on the Sphere

This paper constructs a semi-discrete tight frame of tensor needlets ass...

0 Ming Li, et al. ∙

∙ 07/10/2019

Haar Transforms for Graph Neural Networks

Graph Neural Networks (GNNs) have become a topic of intense research rec...

0 Ming Li, et al. ∙

∙ 01/06/2017

Analysis of Framelet Transforms on a Simplex

In this paper, we construct framelets associated with a sequence of quad...

0 Yu Guang Wang, et al. ∙

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