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Publication search results
found 51 matches
- 2024
- Vrinda Malhotra, Katerina Potika, Mark Stamp:
A comparison of graph neural networks for malware classification. J. Comput. Virol. Hacking Tech. 20(1): 53-69 (2024) - 2023
- Dharahas Tallapally, John Wang, Katerina Potika, Magdalini Eirinaki:
Using Graph Neural Networks for Social Recommendations. Algorithms 16(11): 515 (2023) - Austin Anderson, Petros Potikas, Katerina Potika:
CoDiS: Community Detection via Distributed Seed Set Expansion on Graph Streams. Inf. 14(11): 594 (2023) - Yutong Yao, Petros Potikas, Katerina Potika:
Knowledge Graphs for Textbooks: Extraction and Completion Techniques. AIKE 2023: 38-45 - Thi Bui, Anson Pham, Warada Kulkarni, Yutong Yao, Katerina Potika:
Classifying Real and Bot Users Based on their News Spread for Combating Misinformation. SOSE 2023: 272-279 - Thomas H. Austin, Katerina Potika, Chris Pollett:
Autonomous Lending Organization on Ethereum with Credit Scoring. SVCC 2023: 1-8 - Vrinda Malhotra, Katerina Potika, Mark Stamp:
A Comparison of Graph Neural Networks for Malware Classification. CoRR abs/2303.12812 (2023) - 2022
- Chris Pollett, Thomas H. Austin, Katerina Potika, Justin Rietz, Prashant Pardeshi:
TontineCoin: Survivor-based Proof-of-Stake. Peer-to-Peer Netw. Appl. 15(2): 988-1007 (2022) - Petros Potikas, Dora Souliou, Aris Pagourtzis, Katerina Potika:
A parallel community detection algorithm based on spanning trees. BigDataService 2022: 61-65 - Thi Bui, Katerina Potika:
Twitter Bot Detection using Social Network Analysis. TransAI 2022: 87-88 - Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp:
Convolutional Neural Networks for Image Spam Detection. CoRR abs/2204.01710 (2022) - 2021
- Nicholas Crawford, Sogol Jahanbekam, Katerina Potika:
Improved algorithm to determine 3-colorability of graphs with minimum degree at least 7. Discret. Appl. Math. 298: 80-83 (2021) - Kalpnil Anjan, Willam Andreopoulos, Katerina Potika:
Prediction of higher-order links using global vectors and Hasse diagrams. IEEE BigData 2021: 4802-4811 - Kriti Gupta, Katerina Potika:
Fake News Analysis and Graph Classification on a COVID-19 Twitter Dataset. BigDataService 2021: 60-68 - Anqi Wang, Katerina Potika:
Cyberbullying Classification based on Social Network Analysis. BigDataService 2021: 87-95 - 2020
- Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp:
Convolutional neural networks for image spam detection. Inf. Secur. J. A Glob. Perspect. 29(3): 103-117 (2020) - Shishir Kulkarni, Jay Ketan Katariya, Katerina Potika:
GloVeNoR: GloVe for Node Representations with Second Order Random Walks. ASONAM 2020: 536-543 - Neeraj Chavan, Katerina Potika:
Higher-order Link Prediction Using Triangle Embeddings. IEEE BigData 2020: 4535-4544 - Priyanka Kasbekar, Katerina Potika, Chris Pollett:
Find me if You Can: Aligning Users in Different Social Networks. BigDataService 2020: 46-53 - Aris Pagourtzis, Dora Souliou, Petros Potikas, Katerina Potika:
Overlapping Community Detection via Minimum Spanning Tree Computations. BigDataService 2020: 62-65 - Chris Pollett, Thomas H. Austin, Katerina Potika, Justin Rietz:
TontineCoin: Murder-Based Proof-of-Stake. DAPPS 2020: 82-87 - Pratik Patil, Ching-Seh Mike Wu, Katerina Potika, Marjan Orang:
Stock Market Prediction Using Ensemble of Graph Theory, Machine Learning and Deep Learning Models. ICSIM 2020: 85-92 - 2019
- Magdalini Eirinaki, Jerry Gao, Latifur Khan, Sourav Mazumder, Katerina Potika:
Editorial for Special Issue on "Big Data and Smart Cities". Big Data Res. 17: 33-34 (2019) - Supraja Suresh, Fabio Di Troia, Katerina Potika, Mark Stamp:
An analysis of Android adware. J. Comput. Virol. Hacking Tech. 15(3): 147-160 (2019) - Monica Golahalli Seenappa, Katerina Potika, Petros Potikas:
Short Paper: Graph Classification with Kernels, Embeddings and Convolutional Neural Networks. GC 2019: 88-93 - Isha Pradhan, Katerina Potika, Magdalini Eirinaki, Petros Potikas:
Exploratory data analysis and crime prediction for smart cities. IDEAS 2019: 4:1-4:9 - Dora Souliou, Petros Potikas, Katerina Potika, Aris Pagourtzis:
Weight assignment on edges towards improved community detection. IDEAS 2019: 3:1-3:5 - 2018
- Evangelos Bampas, Christina Karousatou, Aris Pagourtzis, Katerina Potika:
Minimum multiplicity edge coloring via orientation. Discret. Appl. Math. 247: 380-388 (2018) - Evangelos Bampas, Christina Karousatou, Aris Pagourtzis, Katerina Potika:
Path multicoloring in spider graphs with even color multiplicity. Inf. Process. Lett. 133: 1-4 (2018) - Ketki Kulkarni, Aris Pagourtzis, Katerina Potika, Petros Potikas, Dora Souliou:
Community Detection via Neighborhood Overlap and Spanning Tree Computations. ALGOCLOUD 2018: 13-24
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