Nikos Kanakaris

According to our database, Nikos Kanakaris authored at least 29 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

H²GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs.

Trung-Kien Nguyen, Heng Ping, Shixuan Li, Peiyu Zhang, Nikos Kanakaris, Nicholas A. Kotov, Paul Bogdan

CoRR, June, 2025

ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation).

Alejandro Ariza-Casabona, Nikos Kanakaris, Daniele Malitesta

CoRR, March, 2025

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.

Heng Ping, Shixuan Li, Peiyu Zhang, Anzhe Cheng, Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Wei Yang, Shahin Nazarian, Andrei Irimia, Paul Bogdan

CoRR, March, 2025

Personalized Graph-Based Retrieval for Large Language Models.

Steven Au, Cameron J. Dimacali, Ojasmitha Pedirappagari, Namyong Park, Franck Dernoncourt, Yu Wang, Nikos Kanakaris, Hanieh Deilamsalehy, Ryan A. Rossi, Nesreen K. Ahmed

CoRR, January, 2025

Software bug prediction using graph neural networks and graph-based text representations.

Ilias Siachos, Nikos Kanakaris, Nikos I. Karacapilidis

Expert Syst. Appl., 2025

Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.

Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models.

Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploiting Application-to-Architecture Dependencies for Designing Scalable OS.

Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Controllable Generative Model for Brain Evolution.

Gengshuo Liu, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, Andrei Irimia

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.

Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane

CoRR, 2024

A Structure-Aware Framework for Learning Device Placements on Computation Graphs.

Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.

Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

CoRR, 2023

Leveraging Open Innovation Practices Through a Novel ICT Platform.

Emmanuel Adamides, Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis, Konstantinos Konstantinopoulos, Ilias Siachos

Proceedings of the Human Centred Intelligent Systems, 2023

2022

Detection of fake news campaigns using graph convolutional networks.

Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis

Int. J. Inf. Manag. Data Insights, 2022

Is it a bug or a feature? Identifying software bugs using graph attention networks.

Nikos Kanakaris, Ilias Siachos, Nikos I. Karacapilidis

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Predicting prices of Airbnb listings via Graph Neural Networks and Document Embeddings: The case of the island of Santorini.

Nikos Kanakaris, Nikos I. Karacapilidis

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

2021

Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations.

Nikos Kanakaris, Nikolaos Giarelis, Ilias Siachos, Nikos I. Karacapilidis

Entropy, 2021

A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction.

Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2020

On a Novel Representation of Multiple Textual Documents in a Single Graph.

Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis

Proceedings of the Intelligent Decision Technologies, 2020

An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents.

Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process.

Nikos Kanakaris, Nikos I. Karacapilidis, Georgios Kournetas

Proceedings of the 9th International Conference on Operations Research and Enterprise Systems, 2020

On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction Perspective.

Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools.

Nikos Kanakaris, Nikos I. Karacapilidis, Alexis Lazanas

Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, 2019

Combining Machine Learning and Operations Research Methods to Advance the Project Management Practice.

Nikos Kanakaris, Nikos I. Karacapilidis, Georgios Kournetas, Alexis Lazanas

Proceedings of the Operations Research and Enterprise Systems, 2019

Towards Reproducible Bioinformatics: The OpenBio-C Scientific Workflow Environment.

Alexandros Kanterakis, Galateia Iatraki, Konstantina Pityanou, Lefteris Koumakis, Nikos Kanakaris, Nikos I. Karacapilidis, George Potamias

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2015

9.1 A 13mm² 40nm multiband GSM/EDGE/HSPA+/TDSCDMA/LTE transceiver.

Theodore Georgantas, Kostis Vavelidis, Nikos Haralabidis, Stamatis Bouras, Iason Vassiliou, Charalampos Kapnistis, Yiannis Kokolakis, Hamed Peyravi, Gerasimos Theodoratos, Konstantinos S. Vryssas, Nikos Kanakaris, Christos Kokozidis, Spyros Kavvadias, Sofoklis Plevridis, Paul Mudge, Igor Elgorriaga, Aris Kyranas, Spyridon Liolis, Eleni Kytonaki, Giorgos Konstantopoulos, Pavlos Robogiannakis, Kosmas Tsilipanos, Michael Margaras, Panagiotis Betzios, Rahul Magoon, Nias Bouras, Maryam Rofougaran, Reza Rofougaran

Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

2009

An S-band frontend receiver for mobile TV in 65nm CMOS.

Theodoros Chalvatzis, Kostis Vavelidis, Nikos Kanakaris, Iason Vassiliou

Proceedings of the 35th European Solid-State Circuits Conference, 2009

2008

A 65 nm CMOS Multistandard, Multiband TV Tuner for Mobile and Multimedia Applications.

Iason Vassiliou, Kostis Vavelidis, Nikos Haralabidis, Aris Kyranas, Yiannis Kokolakis, Stamatis Bouras, George Kamoulakos, Charalambos Kapnistis, Spyros Kavadias, Nikos Kanakaris, Emmanouil Metaxakis, Christos Kokozidis, Hamed Peyravi

IEEE J. Solid State Circuits, 2008

2007

A 65nm CMOS multi-standard, multi-band mobile TV tuner.

Kostis Vavelidis, Iason Vassiliou, Nikos Haralabidis, Aris Kyranas, Yiannis Kokolakis, Stamatis Bouras, George Kamoulakos, Charalampos Kapnistis, Spyros Kavadias, Nikos Kanakaris, Emmanouil Metaxakis, Christos Kokozidis, Hamed Peyravi

Proceedings of the 33rd European Solid-State Circuits Conference, 2007