Publications

2023

1. AAAI

   SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks

   Choi, Jae,  Chen, Yuzhou, Lee, Huikyo, Kim, Hyun, and Gel, Yulia R

   In Proceedings of the AAAI Conference on Artificial Intelligence 2023
2. AAAI

   TopoGCL: Topological Graph Contrastive Learning

   Chen, Yuzhou, Frias, Jose, and Gel, Yulia R

   In Proceedings of the AAAI Conference on Artificial Intelligence 2023
3. AAAI

   Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence

   Coskunuzer, Baris, Segovia-Dominguez, Ignacio,  Chen, Yuzhou, and Gel, Yulia R

   In Proceedings of the AAAI Conference on Artificial Intelligence 2023
4. LOG

   United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification under Graph Label Corruption

   Zhen, Zhiwei,  Chen, Yuzhou, Kantarcioglu, Murat, Gel, Yulia R, and Jee, Kangkook

   In Learning on Graphs Conference 2023
5. PNAS

   A Simplicial Epidemic Model for COVID-19 Spread Analysis

   Chen, Yuzhou, Gel, Yulia R, Marathe, Madhav V, and Poor, H Vincent

   Proceedings of the National Academy of Sciences 2023
6. ECML-PKDD

   H^2-Nets: Hyper-Hodge Convolutional Neural Networks for Time-series Forecasting

   Chen, Yuzhou, Jiang, Tian, and Gel, Yulia R

   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023
7. TPWRS

   Learning Power Grid Outages with Higher-Order Topological Neural Networks

   Chen, Yuzhou, Jacob, Roshni Anna, Gel, Yulia R, Zhang, Jie, and Poor, H Vincent

   IEEE Transactions on Power Systems 2023
8. ICASSP

   Higher-order Spatio-temporal Neural Networks for COVID-19 Forecasting

   Chen, Yuzhou, Batsakis, Sotirios, and Poor, H Vincent

   In International Conference on Acoustics, Speech, and Signal Processing 2023
9. PaKDD

   Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning

   Chen, Yuzhou, Heleno, Miguel, Moreira, Alexandre, and Gel, Yulia R

   In Pacific-Asia Conference on Knowledge Discovery and Data Mining 2023
10. ICRA

    Efficient Planning of Multi-Robot Collective Transport Using Graph Reinforcement Learning with Higher Order Topological Abstraction

    Paul, Steve, Li, Wenyuan, Smyth, Brian,  Chen, Yuzhou, Gel, Yulia R, and Chowdhury, Souma

    In IEEE International Conference on Robotics and Automation 2023
11. AAAI

    Topological Pooling on Graphs

    Chen, Yuzhou, and Gel, Yulia R

    In Proceedings of the AAAI Conference on Artificial Intelligence 2023

2022

1. BigData

   Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets

   Chen, Yuzhou, Jiang, Tian, Heleno, Miguel, Moreira, Alexandre, and Gel, Yulia R

   In IEEE International Conference on Big Data 2022
2. BigData

   Learning on Health Fairness and Environmental Justice via Interactive Visualization

   Nayeem, Abdullah-Al-Raihan, Segovia-Dominguez, Ignacio, Lee, Huikyo,  Chen, Yuzhou, Zhen, Zhiwei, Gel, Yulia R, and Cho, Isaac

   In IEEE International Conference on Big Data 2022
3. NeurIPS

   Time Dimension Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting

   Chen, Yuzhou, Gel, Yulia R, and Poor, H Vincent

   In Advances in Neural Information Processing Systems 2022
4. NeurIPS

   ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery

   Demir, Andac, Coskunuzer, Baris, Segovia-Dominguez, Ignacio,  Chen, Yuzhou, Gel, Yulia R, and Kiziltan, Bulent

   In Advances in Neural Information Processing Systems 2022
5. ECML-PKDD

   TopoAttn-Nets: Topological Attention in Graph Representation Learning

   Chen, Yuzhou, Sizikova, Elena, and Gel, Yulia R

   In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022
6. ICLR

   TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting

   Chen, Yuzhou, Segovia-Dominguez, Ignacio, Coskunuzer, Baris, and Gel, Yulia R

   In International Conference on Learning Representations 2022
7. AAAI

   BScNets: Block Simplicial Complex Neural Networks

   Chen, Yuzhou, Gel, Yulia R, and Poor, H Vincent

   In Proceedings of the AAAI Conference on Artificial Intelligence 2022
8. IAAI/AAAI

   TCN: Pioneering Topological-based Convolutional Networks for Planetary Terrain Learning

   Chen, Yuzhou, Marchetti, Yuliya, Sizikova, Elena, and Gel, Yulia R

   In Proceedings of the AAAI Conference on Artificial Intelligence 2022
9. PaKDD

   Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning

   Zhen, Zhiwei,  Chen, Yuzhou, Segovia-Dominguez, Ignacio, and Gel, Yulia R

   In Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022
10. Under revision

    Stability of K-means Clustering in Reproducing Kernel Hilbert Spaces

    Dixon, Matthew,  Chen, Yuzhou, and Gel, Yulia R

    Under revision 2022

2021

1. NeurIPS

   Topological Relational Learning on Graphs

   Chen, Yuzhou, Coskunuzer, Baris, and Gel, Yulia R

   Advances in Neural Information Processing Systems 2021
2. ICML

   Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting

   Chen, Yuzhou, Segovia, Ignacio, and Gel, Yulia R

   In International Conference on Machine Learning 2021
3. JRSS-C

   Understanding Power Grid Network Vulnerability through the Stochastic Lens of Network Motif Evolution

   Chen, Yuzhou, Ng, Hon Keung Tony, Gel, Yulia R, and Poor, H Vincent

   Invited revision to Journal of the Royal Statistical Society: Series C 2021
4. arXiv

   Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity

   Segovia-Dominguez, Ignacio, Lee, Huikyo, Zhen, Zhiwei,  Chen, Yuzhou, Garay, Michael, Crichton, Daniel, Wagh, Rishabh, and Gel, Yulia R

   arXiv 2021
5. KDD

   Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning

   Segovia Dominguez, Ignacio, Lee, Huikyo,  Chen, Yuzhou, Garay, Michael, Gorski, Krzysztof M, and Gel, Yulia R

   In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2021
6. IAAI/AAAI

   Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning

   Chen, Yuzhou, Marchetti, Yuliya, and Gel, Yulia R

   In Proceedings of the Innovative Applications of Artificial Intelligence Conference 2021
7. IAAI/AAAI

   Topological machine learning methods for power system responses to contingencies

   Bush, Brian,  Chen, Yuzhou, Ofori-Boateng, Dorcas, and Gel, Yulia R

   In Proceedings of the Innovative Applications of Artificial Intelligence Conference 2021
8. Variance

   Statistical Models and Algorithms for Assessing Robustness and Reliability of Networks with Applications in Cybersecurity Insurance

   Chen, Yuzhou, and Ng, Hon Keung Tony

   Variance 2021

2020

1. ICDM

   LFGCN: Levitating over Graphs with Levy Flights

   Chen, Yuzhou, Gel, Yulia R, and Avrachenkov, Konstantin

   In International Conference on Data Mining 2020

2019

1. ICDMW

   Deep learning Ethereum token price prediction with network motif analysis

   Chen, Yuzhou, and Ng, Hon Keung Tony

   In International Conference on Data Mining Workshops 2019
2. R Journal

   Snowboot: bootstrap methods for network inference

   Chen, Yuzhou, Gel, Yulia R, Lyubchich, Vyacheslav, and Nezafati, Kusha

   R Journal 2019

2018

1. PBMB

   Improving the generation and selection of virtual populations in quantitative systems pharmacology models

   Rieger, Theodore R, Allen, Richard J, Bystricky, Lukas,  Chen, Yuzhou, Colopy, Glen Wright, Cui, Yifan, Gonzalez, Angelica, Liu, Yifei, White, RD, Everett, RA, and others,

   Progress in biophysics and molecular biology 2018
2. PaKDD

   Deep ensemble classifiers and peer effects analysis for churn forecasting in retail banking

   Chen, Yuzhou, Gel, Yulia R, Lyubchich, Vyacheslav, and Winship, Todd

   In Pacific-Asia Conference on Knowledge Discovery and Data Mining 2018