Wang, Yu Guang
- Weisfeiler and Lehman Go Cellular: CW Networks
2021/06/23 by Cristian Bodnar, Fabrizio Frasca, Bodnar, Cristian +11 · 16 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Weisfeiler and Lehman Go Topological: Message Passing Simplicial\n Networks
2021/03/04 by Cristian Bodnar, Bodnar, Cristian, Fabrizio Frasca +11 · 14 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Topological and Geometric Data Analysis
- EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
2023/03/20 by Chenxin Xu, Xu, Chenxin, Robby T. Tan +11 · 10 citations
Computer Science · #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications #Time Series Analysis and Forecasting
- Oversquashing in GNNs through the lens of information contraction and graph expansion
2022/08/06 by Pradeep Banerjee, Banerjee, Pradeep Kr., Kedar Karhadkar +7 · 7 citations
Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Information Theory (cs.IT) #Machine Learning (cs.LG)
- Distributed filtered hyperinterpolation for noisy data on the sphere
2019/10/06 by Shao-Bo Lin, Yu Guang Wang, Lin, Shao-Bo +3 · 4 citations
Earth and Planetary Sciences · Computer Science · #Seismic Imaging and Inversion Techniques #Image and Signal Denoising Methods #Geophysics and Gravity Measurements
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
2022/06/11 by Yuelin Wang, Wang, Yuelin, Kai Yi +7 · 5 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Analysis of PDEs (math.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning in Materials Science #Stochastic Gradient Optimization Techniques
- Distributed Learning via Filtered Hyperinterpolation on Manifolds
2020/07/18 by Montúfar, Guido, Wang, Yu Guang · 3 citations
#41A05 #42C05 #58C05 #58C35 #65D05 #65D30 #65T60 #65Y05 #68Q32 #94A12 #F.2.1 #FOS: Computer and information sciences #FOS: Mathematics #G.1.1 #G.1.2 #G.1.4 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
- Graph Denoising Diffusion for Inverse Protein Folding
2023/06/29 by Kai Yi, Bingxin Zhou, Yi, Kai +7 · 1 voice · 4 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning in Bioinformatics #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #RNA and protein synthesis mechanisms
- A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
2024/06/08 by Yiqing Shen, Shen, Yiqing, Zan Chen +15 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Quantitative Methods (q-bio.QM) #Topic Modeling
- CosmoVAE: Variational Autoencoder for CMB Image Inpainting
2020/01/31 by Yi, Kai, Guo, Yi, Fan, Yanan +2 · 2 citations
#47A52 #62F15 #83F05 #92B20 #97K80 #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #I.2.4 #I.2.6 #Image and Video Processing (eess.IV) #J.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
- How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
2024/05/21 by Keke Huang, Huang, Keke, Yu Guang Wang +5 · 3 citations
Computer Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering
2024/11/09 by Liu, Yungeng, Chen, Zan, Wang, Yu Guang +1 · 3 citations
#FOS: Biological sciences #Quantitative Methods (q-bio.QM)
- Fully discrete needlet approximation on the sphere
2015/02/20 by Wang, Yu Guang, Gia, Quoc T. Le, Sloan, Ian H. +1 · 1 citation
#33C55 #42C40 #43A90 #65D32 #FOS: Mathematics #Numerical Analysis (math.NA)
- AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering
2024/11/07 by Y. Liu, Zan Chen, Liu, Yungeng +5 · 3 citations
Computer Science · Social Sciences · #FOS: Biological sciences #Quantitative Methods (q-bio.QM) #Software Engineering Research #Topic Modeling #Wikis in Education and Collaboration
- Fractional Stochastic Partial Differential Equation for Random Tangent Fields on the Sphere
2021/07/08 by Anh, Vo V., Olenko, Andriy, Wang, Yu Guang · 2 citations
#33C55 #35R11 #35R60 #60G22 #60G60 #60H15 #Analysis of PDEs (math.AP) #FOS: Mathematics #Probability (math.PR)
- How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
2020/08/19 by Ming Li, Sho Sonoda, Li, Ming +6 · 1 citation
Computer Science · #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks
2023/04/13 by Bingxin Zhou, Outongyi Lv, Zhou, Bingxin +11 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- Graph Representation Learning for Interactive Biomolecule Systems
2023/04/05 by Xiong, Xinye, Zhou, Bingxin, Wang, Yu Guang · 1 citation
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- Robust Graph Representation Learning for Local Corruption Recovery
2022/02/10 by Zhou, Bingxin, Jiang, Yuanhong, Wang, Yu Guang +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Layer-diverse Negative Sampling for Graph Neural Networks
2024/03/18 by Wei Duan, Jie Lü, Duan, Wei +5 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and ELM
- Limiting Over-Smoothing and Over-Squashing of Graph Message Passing by Deep Scattering Transforms
2024/07/09 by Yuanhong Jiang, Jiang, Yuanhong, Dongmian Zou +5 · 1 citation
Social Sciences · #Advanced Computing and Algorithms #FOS: Mathematics #Spectral Theory (math.SP)
- Improving Antibody Design with Force-Guided Sampling in Diffusion Models
2024/06/09 by Paulina Kulytė, Kulytė, Paulina, Francisco Vargas +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Medicine · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #Quantitative Methods (q-bio.QM) #Viral Infectious Diseases and Gene Expression in Insects
- Score-matching-based Structure Learning for Temporal Data on Networks
2024/12/10 by Hao Chen, Chen, Hao, K. Yi +3 · 1 citation
Computer Science · #Time Series Analysis and Forecasting #Data Mining Algorithms and Applications