| A note on over-smoothing for graph neural networks C Cai, Y Wang The International Conference on Machine Learning 2020 Graph Representation …, 2020 | 277 | 2020 |
| Equivariant subgraph aggregation networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... International Conference on Learning Representations 2022, 2021 | 201 | 2021 |
| A simple yet effective baseline for non-attributed graph classification C Cai, Y Wang International Conference on Learning Representations 2019 Representation …, 2018 | 118 | 2018 |
| Graph coarsening with neural networks C Cai, D Wang, Y Wang International Conference on Learning Representations 2021, 2021 | 87 | 2021 |
| 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 | 44 | 2022 |
| On the Connection Between MPNN and Graph Transformer C Cai, TS Hy, R Yu, Y Wang The International Conference on Machine Learning 2023, 2023 | 43 | 2023 |
| 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 | 40 | 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 | 27 | 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 | 25 | 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 | 14 | 2021 |
| Group representation theory for knowledge graph embedding C Cai, Y Cai, M Sun, Z Xu NeurIPS 2019 Graph Representation Learning Workshop, 2019 | 13 | 2019 |
| Understanding the power of persistence pairing via permutation test C Cai, Y Wang arXiv preprint arXiv:2001.06058, 2020 | 12 | 2020 |
| 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 | 11 | 2014 |
| Convergence of invariant graph networks C Cai, Y Wang The International Conference on Machine Learning 2022, 2022 | 6 | 2022 |
| 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 |
Yusu WangProfessor, HDSI, Univ. California, San Diego.Verified email at ucsd.edu
