Graph-augmented normalizing flows for anomaly detection of multiple time series
- Enyan Dai
- Jie Chen
- 2022
- ICLR 2022
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30 results for Jie Chen
EvolveGCN: Evolving graph convolutional networks for dynamic graphs
- Aldo Pareja
- Giacomo Domeniconi
- et al.
- 2020
- AAAI 2020
Embedding compression with isotropic iterative quantization
- Siyu Liao
- Jie Chen
- et al.
- 2020
- AAAI 2020
Online planner selection with graph neural networks and adaptive scheduling
- Tengfei Ma
- Patrick Ferber
- et al.
- 2020
- AAAI 2020
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
- Yifan Chen
- Rentian Yao
- et al.
- 2023
- ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- Minghao Guo
- Veronika Thost
- et al.
- 2023
- ICML 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
- Tianchun Wang
- Farzaneh Mirzazadeh
- et al.
- 2023
- ICML 2023
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
- Gabriel Mancino-Ball
- Shengnan Miao
- et al.
- 2023
- AAAI 2023
CAG: A real-time low-cost enhanced-robustness high-transferability content-aware adversarial attack generator
- Huy Phan
- Yi Xie
- et al.
- 2020
- AAAI 2020