Chen Cai

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	Todos	Desde 2020
Citações	1055	1044
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Índice i10	14	13

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Yusu WangProfessor, HDSI, Univ. California, San Diego.Email confirmado em ucsd.edu
Balasubramaniam SrinivasanAmazon (AWS)Email confirmado em amazon.com
Fabrizio FrascaPosdoctoral Fellow, Technion – Israel Institute of TechnologyEmail confirmado em campus.technion.ac.il
Derek LimMITEmail confirmado em mit.edu
Beatrice BevilacquaPhD Candidate, Purdue UniversityEmail confirmado em purdue.edu
Haggai MaronAssistant Professor at the Technion, Research Scientist at NVIDIA ResearchEmail confirmado em technion.ac.il
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAEmail confirmado em cs.ox.ac.uk
Rose YuAssociate Professor, University of California, San DiegoEmail confirmado em ucsd.edu
Rafael Gómez-BombarelliAssociate Professor, MIT DMSEEmail confirmado em mit.edu
Jian Tang (唐建）Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI ChairEmail confirmado em hec.ca
Tess SmidtMassachusetts Institute of TechnologyEmail confirmado em mit.edu
Minkai XuStanford UniversityEmail confirmado em cs.stanford.edu
Facundo MémoliDepartment of Mathematics. Rutgers University.Email confirmado em rutgers.edu
WaiChing SunAssociate Professor of Civil Engineering and Engineering Mechanics, Columbia UniversityEmail confirmado em columbia.edu
Wujie WangGenerate Biomedicines, Inc.Email confirmado em mit.edu

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Chen Cai

UC San Diego

Email confirmado em ucsd.edu - Página inicial

Graph representation learning Geometric deep learning Topological data analysis


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
A note on over-smoothing for graph neural networks C Cai, Y Wang The International Conference on Machine Learning 2020 Graph Representation …, 2020	316	2020
Equivariant subgraph aggregation networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... International Conference on Learning Representations 2022, 2021	228	2021
A simple yet effective baseline for non-attributed graph classification C Cai, Y Wang International Conference on Learning Representations 2019 Representation …, 2018	128	2018
Graph coarsening with neural networks C Cai, D Wang, Y Wang International Conference on Learning Representations 2021, 2021	98	2021
On the Connection Between MPNN and Graph Transformer C Cai, TS Hy, R Yu, Y Wang The International Conference on Machine Learning 2023, 2023	60	2023
Composition design of high-entropy alloys with deep sets learning J Zhang, C Cai, G Kim, Y Wang, W Chen npj Computational Materials 8 (1), 89, 2022	51	2022
Generative coarse-graining of molecular conformations W Wang, M Xu, C Cai, BK Miller, T Smidt, Y Wang, J Tang, ... The International Conference on Machine Learning 2022, 2022	43	2022
Elder-rule-staircodes for augmented metric spaces C Cai, W Kim, F Mémoli, Y Wang SIAM Journal on Applied Algebra and Geometry 5 (3), 417-454, 2021	36	2021
Network representation learning: Consolidation and renewed bearing S Gurukar, P Vijayan, A Srinivasan, G Bajaj, C Cai, M Keymanesh, ... arXiv preprint arXiv:1905.00987, 2019	26	2019
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph C Cai, N Vlassis, L Magee, R Ma, Z Xiong, B Bahmani, TF Wong, Y Wang, ... arXiv preprint arXiv:2104.05608, 2021	18	2021
Understanding the power of persistence pairing via permutation test C Cai, Y Wang arXiv preprint arXiv:2001.06058, 2020	12	2020
Group representation theory for knowledge graph embedding C Cai, Y Cai, M Sun, Z Xu NeurIPS 2019 Graph Representation Learning Workshop, 2019	11	2019
Convergence of invariant graph networks C Cai, Y Wang The International Conference on Machine Learning 2022, 2022	10	2022
The method of upper and lower solutions to impulsive differential equations with integral boundary conditions H Pang, M Lu, C Cai Advances in Difference Equations 2014, 1-11, 2014	10	2014
Local-to-global perspectives on graph neural networks C Cai University of California, San Diego, 2023	3	2023
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress S Gurukar, P Vijayan, B Ravindran, A Srinivasan, G Bajaj, C Cai, ... Transactions on Machine Learning Research, 2022	2	2022
SANITY CHECK FOR PERSISTENCE DIAGRAMS C Cai International Conference on Learning Representations 2021 Workshop on …, 0	2*
Monotone Iterative Technique and Symmetric Positive Solutions to Fourth‐Order Boundary Value Problem with Integral Boundary Conditions H Pang, C Cai Discrete Dynamics in Nature and Society 2014 (1), 583875, 2014	1	2014

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