A note on over-smoothing for graph neural networks C Cai, Y Wang The International Conference on Machine Learning 2020 Graph Representation …, 2020 | 205 | 2020 |
Equivariant subgraph aggregation networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... International Conference on Learning Representations 2022, 2021 | 157 | 2021 |
A simple yet effective baseline for non-attributed graph classification C Cai, Y Wang International Conference on Learning Representations 2019 Representation …, 2018 | 103 | 2018 |
Graph coarsening with neural networks C Cai, D Wang, Y Wang International Conference on Learning Representations 2021, 2021 | 69 | 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 | 41 | 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 | 30 | 2022 |
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 | 24 | 2019 |
On the Connection Between MPNN and Graph Transformer C Cai, TS Hy, R Yu, Y Wang The International Conference on Machine Learning 2023, 2023 | 23 | 2023 |
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 | 22 | 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 |
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 | 11 | 2021 |
Understanding the power of persistence pairing via permutation test C Cai, Y Wang arXiv preprint arXiv:2001.06058, 2020 | 11 | 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 | 10 | 2014 |
Convergence of invariant graph networks C Cai, Y Wang The International Conference on Machine Learning 2022, 2022 | 5 | 2022 |
Local-to-global Perspectives on Graph Neural Networks C Cai University of California, San Diego, 2023 | 1 | 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 | 1 | 2022 |
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, 2014 | 1 | 2014 |
SANITY CHECK FOR PERSISTENCE DIAGRAMS C Cai International Conference on Learning Representations 2021 Workshop on …, 0 | 1* | |