Yulia R. Gel

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 88

Top Topics

Convolutional Network

Graph Representation

Top Venues

Publications

Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
EMP: Effective Multidimensional Persistence for Graph Representation Learning. CoRR (2024)
Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD (2024)
Yuzhou Chen, José Frías, Yulia R. Gel
TopoGCL: Topological Graph Contrastive Learning. AAAI (2024)
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. CoRR (2024)
Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. AAAI (2024)
Yuzhou Chen, José Frías, Yulia R. Gel
TopoGCL: Topological Graph Contrastive Learning. CoRR (2024)
Jae Won Choi, Yuzhou Chen, José Frías, Joel Castillo, Yulia R. Gel
Revisiting Link Prediction with the Dowker Complex. PAKDD (2) (2024)
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. AAAI (2024)
Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. CoRR (2023)
Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. PAKDD (1) (2023)
Yuzhou Chen, Tian Jiang, Yulia R. Gel
-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting. ECML/PKDD (5) (2023)
Steve Paul, Wenyuan Li, Brian Smyth, Yuzhou Chen, Yulia R. Gel, Souma Chowdhury
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction. ICRA (2023)
Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Yulia R. Gel
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract). AAAI (2023)
Yuzhou Chen, Yulia R. Gel
Topological Pooling on Graphs. AAAI (2023)
Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia R. Gel
United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption. LoG (2023)
Sinan G. Aksoy, Ryan Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young
Seven open problems in applied combinatorics. CoRR (2023)
Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD (2023)
Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
EMP: Effective Multidimensional Persistence for Graph Representation Learning. LoG (2023)
Yuzhou Chen, Yulia R. Gel
Topological Pooling on Graphs. CoRR (2023)
Yuzhou Chen, Elena Sizikova, Yulia R. Gel
TopoAttn-Nets: Topological Attention in Graph Representation Learning. ECML/PKDD (2) (2022)
Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. AAAI (2022)
Kiarash Shamsi, Friedhelm Victor, Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora
Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains. NeurIPS (2022)
Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
Learning on Health Fairness and Environmental Justice via Interactive Visualization. Big Data (2022)
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
BScNets: Block Simplicial Complex Neural Networks. AAAI (2022)
Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT. NeurIPS (2022)
Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. NeurIPS (2022)
Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. Big Data (2022)
Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT. CoRR (2022)
Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. ICLR (2022)
Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. CoRR (2022)
Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel K. Newlands, Yulia R. Gel
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. AAAI (2022)
Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu
Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota. WIREs Data Mining Knowl. Discov. 12 (1) (2022)
Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. PAKDD (2) (2022)
Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR (2022)
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting. NeurIPS (2022)
Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
Learning on Health Fairness and Environmental Justice via Interactive Visualization. CoRR (2022)
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. CoRR (2021)
Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. ECML/PKDD (1) (2021)
Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel
Data Science on Blockchains. KDD (2021)
Yuzhou Chen, Yulia R. Gel, H. Vincent Poor
BScNets: Block Simplicial Complex Neural Networks. CoRR (2021)
Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
Topological Relational Learning on Graphs. NeurIPS (2021)
Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu
Alphacore: Data Depth based Core Decomposition. KDD (2021)
Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel
Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. KDD (2021)
Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel
Topological Machine Learning Methods for Power System Responses to Contingencies. AAAI (2021)
Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Murat Kantarcioglu, Cuneyt Gurcan Akcora, Yulia R. Gel
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. CoRR (2021)
Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Vyacheslav Lyubchich, Bhavani M. Thuraisingham
GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel
Defending against Backdoors in Federated Learning with Robust Learning Rate. AAAI (2021)
Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. AAAI (2021)
Dorcas Ofori-Boateng, Yulia R. Gel, Ivor Cribben
Nonparametric Anomaly Detection on Time Series of Graphs. J. Comput. Graph. Stat. 30 (3) (2021)
Xu Zhang, Yahui Tian, Guoyu Guan, Yulia R. Gel
Depth-based classification for relational data with multiple attributes. J. Multivar. Anal. 184 (2021)
Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel
TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions. PAKDD (1) (2021)
Yuzhou Chen, Baris Coskunuzer, Yulia R. Gel
Topological Relational Learning on Graphs. CoRR (2021)
Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity. CoRR (2021)
Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel
Smart Vectorizations for Single and Multiparameter Persistence. CoRR (2021)
Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel
Blockchain Networks: Data Structures of Bitcoin, Monero, Zcash, Ethereum, Ripple and Iota. CoRR (2021)
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. ICML (2021)
Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph? SDM (2020)
Cuneyt Gurcan Akcora, Sudhanva Purusotham, Yulia R. Gel, Mitchell Krawiec-Thayer, Murat Kantarcioglu
How to Not Get Caught When You Launder Money on Blockchain? CoRR (2020)
Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu
BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain. IJCAI (2020)
Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba
A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access 8 (2020)
Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel
Defending Against Backdoors in Federated Learning with Robust Learning Rate. CoRR (2020)
Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
LFGCN: Levitating over Graphs with Levy Flights. CoRR (2020)
Georgiy V. Bobashev, Ignacio Segovia-Dominguez, Yulia R. Gel, James Rineer, Sarah Rhea, Hui Sui
Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity. ACM SIGSPATIAL Special 12 (2) (2020)
Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov
LFGCN: Levitating over Graphs with Levy Flights. ICDM (2020)
Umar Islambekov, Monisha Yuvaraj, Yulia R. Gel
Harnessing the power of Topological Data Analysis to detect change points in time series. CoRR (2019)
Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
Snowboot: Bootstrap Methods for Network Inference. CoRR (2019)
Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Umar D. Islambekov, Yahui Tian, Bhavani M. Thuraisingham
ChainNet: Learning on Blockchain Graphs with Topological Features. ICDM (2019)
Yitao Li, Umar Islambekov, Cuneyt Gurcan Akcora, Ekaterina Smirnova, Yulia R. Gel, Murat Kantarcioglu
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph. CoRR (2019)
Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Umar D. Islambekov, Murat Kantarcioglu, Yahui Tian, Bhavani M. Thuraisingham
ChainNet: Learning on Blockchain Graphs with Topological Features. CoRR (2019)
Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor
Assessing the Resilience of the Texas Power Grid Network. DSW (2019)
Umar Islambekov, Yulia R. Gel
Unsupervised Space-Time Clustering using Persistent Homology. CoRR (2019)
Nathaniel K. Newlands, Azar Ghahari, Yulia R. Gel, Vyacheslav Lyubchich, Tahir Mahdi
Deep Learning for Improved Agricultural Risk Management. HICSS (2019)
Yahui Tian, Yulia R. Gel
Fusing data depth with complex networks: Community detection with prior information. Comput. Stat. Data Anal. 139 (2019)
Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu
BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain. CoRR (2019)
Cuneyt Gurcan Akcora, Asim Kumer Dey, Yulia R. Gel, Murat Kantarcioglu
Forecasting Bitcoin Price with Graph Chainlets. PAKDD (3) (2018)
Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship
Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. PAKDD (1) (2018)
Umar Islambekov, Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor
Role of Local Geometry in Robustness of Power Grid Networks. GlobalSIP (2018)
Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel
Blockchain Data Analytics. ICDM (2018)
Cuneyt Gurcan Akcora, Jonathan Z. Bakdash, Yulia R. Gel, Murat Kantarcioglu, Laura R. Marusich, Bhavani M. Thuraisingham
Attacklets: Modeling High Dimensionality in Real World Cyberattacks. ISI (2018)
Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
Snowboot: Bootstrap Methods for Network Inference. R J. 10 (2) (2018)
Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu
Blockchain: A Graph Primer. CoRR (2017)
Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor
Intentional islanding of power grids with data depth. CAMSAP (2017)
Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor
Motif-based analysis of power grid robustness under attacks. GlobalSIP (2017)
Xin Huang, Yulia R. Gel
CRAD: Clustering with Robust Autocuts and Depth. ICDM (2017)
Vyacheslav Lyubchich, Xingyu Wang, Andrew Heyes, Yulia R. Gel
A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median. Comput. Stat. Data Anal. 104 (2016)
Brian R. Gray, Vyacheslav Lyubchich, Yulia R. Gel, James T. Rogala, Dale M. Robertson, Xiaoqiao Wei
Estimation of river and stream temperature trends under haphazard sampling. Stat. Methods Appl. 25 (1) (2016)
Vyacheslav Lyubchich, Yulia R. Gel
A local factor nonparametric test for trend synchronism in multiple time series. J. Multivar. Anal. 150 (2016)
Jonathan Popa, Kusha Nezafati, Yulia R. Gel, John Zweck, Georgiy V. Bobashev
Catching Social Butterflies: Identifying Influential Users of an Event-Based Social Networking Service. BigData Congress (2016)
Lilia L. Ramírez-Ramírez, Yulia R. Gel, Mary Thompson, Eileen de Villa, Matt McPherson
A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using random networks and GIS. Comput. Methods Programs Biomed. 110 (3) (2013)
Bei Chen, Yulia R. Gel
Autoregressive frequency detection using Regularized Least Squares. J. Multivar. Anal. 101 (7) (2010)
Yulia R. Gel
Test of fit for a Laplace distribution against heavier tailed alternatives. Comput. Stat. Data Anal. 54 (4) (2010)
Yulia R. Gel, Weiwen Miao, Joseph L. Gastwirth
Robust directed tests of normality against heavy-tailed alternatives. Comput. Stat. Data Anal. 51 (5) (2007)