Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
- Giangiacomo Mercatali
- Andre Freitas
- et al.
- 2024
- NeurIPS 2024
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20 results for Jie Chen
Identifying Money Laundering Subgraphs on the Blockchain
- Kiwhan Song
- Mohamed Ali Dhraief
- et al.
- 2024
- ICAIF 2024
Representing Molecules as Random Walks Over Interpretable Grammars
- Michael Sun
- Minghao Guo
- et al.
- 2024
- ICML 2024
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- Soumya Ghosh
- Prasanna Sattigeri
- et al.
- 2023
- NeurIPS 2023
Attacking c-MARL More Effectively: A Data Driven Approach
- Nhan Pham
- Lam Nguyen
- et al.
- 2023
- ICDM 2023
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization
- Han Huang
- Jiajia Yu
- et al.
- 2023
- Journal of Computational Physics
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
- Tim Kaler
- Alexandros-stavros Iliopoulos
- et al.
- 2023
- MLSys 2023
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- Zehao Niu
- Mihai Anitescu
- et al.
- 2023
- ICLR 2023
Parallel and Distributed Asynchronous Adaptive Stochastic Gradient Methods
- Yangyang Xu
- Yibo Xu
- et al.
- 2023
- Mathematical Programming Computation
A Decentralized Primal-Dual Framework for Non-convex Smooth Consensus Optimization
- Gabriel Mancino-ball
- Yangyang Xu
- et al.
- 2023
- IEEE TSP