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Chen Cai
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A note on over-smoothing for graph neural networks
C Cai, Y Wang
The International Conference on Machine Learning 2020 Graph Representation …, 2020
2232020
Equivariant subgraph aggregation networks
B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ...
International Conference on Learning Representations 2022, 2021
1712021
A simple yet effective baseline for non-attributed graph classification
C Cai, Y Wang
International Conference on Learning Representations 2019 Representation …, 2018
1062018
Graph coarsening with neural networks
C Cai, D Wang, Y Wang
International Conference on Learning Representations 2021, 2021
742021
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
352022
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
322022
On the Connection Between MPNN and Graph Transformer
C Cai, TS Hy, R Yu, Y Wang
The International Conference on Machine Learning 2023, 2023
302023
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
242019
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
222021
Group representation theory for knowledge graph embedding
C Cai, Y Cai, M Sun, Z Xu
NeurIPS 2019 Graph Representation Learning Workshop, 2019
132019
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
122021
Understanding the power of persistence pairing via permutation test
C Cai, Y Wang
arXiv preprint arXiv:2001.06058, 2020
112020
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
112014
Convergence of invariant graph networks
C Cai, Y Wang
The International Conference on Machine Learning 2022, 2022
52022
Local-to-global Perspectives on Graph Neural Networks
C Cai
University of California, San Diego, 2023
12023
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
12022
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
12014
SANITY CHECK FOR PERSISTENCE DIAGRAMS
C Cai
International Conference on Learning Representations 2021 Workshop on …, 0
1
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Artículos 1–18