Nikos Kanakaris

35 papers A* 2B 2C 3Misc 3Journal 14Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation).
CoRR
Alejandro Ariza-Casabona, Nikos Kanakaris, Daniele Malitesta
2025 Misc conf
Controllable Generative Model for Brain Evolution.
ICASSP
Gengshuo Liu, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, Andrei Irimia
2025 Misc conf
Exploiting Application-to-Architecture Dependencies for Designing Scalable OS.
ICASSP
Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025 J jnl
Exploiting Application-to-Architecture Dependencies for Designing Scalable OS.
CoRR
Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025 J jnl
H
CoRR
Trung-Kien Nguyen, Heng Ping, Shixuan Li, Peiyu Zhang, Nikos Kanakaris, Nicholas A. Kotov, Paul Bogdan
2025 J jnl
HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.
CoRR
Heng Ping, Shixuan Li, Peiyu Zhang, Anzhe Cheng, Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Wei Yang, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025 — conf
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.
WWW (Companion Volume)
Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan
2025 J jnl
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.
CoRR
Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan
2025 A* conf
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models.
ICLR
Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan
2025 J jnl
Personalized Graph-Based Retrieval for Large Language Models.
CoRR
Steven Au, Cameron J. Dimacali, Ojasmitha Pedirappagari, Namyong Park, Franck Dernoncourt, Yu Wang, Nikos Kanakaris, Hanieh Deilamsalehy, Ryan A. Rossi, Nesreen K. Ahmed
2025 J jnl
Software bug prediction using graph neural networks and graph-based text representations.
Expert Syst. Appl.
Ilias Siachos, Nikos Kanakaris, Nikos I. Karacapilidis
2025 — conf
Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts.
EMNLP (Industry Track)
Anwesan Pal, Karen Hovsepian, Tinghao Guo, Mengnan Zhao, Somendra Tripathi, Nikos Kanakaris, George Mihaila, Sumit Nigam
2025 J jnl
Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts.
CoRR
Anwesan Pal, Karen Hovsepian, Tinghao Guo, Mengnan Zhao, Somendra Tripathi, Nikos Kanakaris, George Mihaila, Sumit Nigam
2024 A* conf
A Structure-Aware Framework for Learning Device Placements on Computation Graphs.
NeurIPS
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
2024 J jnl
A structure-aware framework for learning device placements on computation graphs.
CoRR
Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
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 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
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
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
2023 — conf
Leveraging Open Innovation Practices Through a Novel ICT Platform.
KES-HCIS
Emmanuel Adamides, Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis, Konstantinos Konstantinopoulos, Ilias Siachos
2023 J jnl
Leveraging Reinforcement Learning and Large Language Models for Code Optimization.
CoRR
Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
2022 J jnl
Detection of fake news campaigns using graph convolutional networks.
Int. J. Inf. Manag. Data Insights
Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis
2022 B conf
Is it a bug or a feature? Identifying software bugs using graph attention networks.
ICTAI
Nikos Kanakaris, Ilias Siachos, Nikos I. Karacapilidis
2022 — conf
Predicting prices of Airbnb listings via Graph Neural Networks and Document Embeddings: The case of the island of Santorini.
CENTERIS/ProjMAN/HCist
Nikos Kanakaris, Nikos I. Karacapilidis
2021 Misc conf
A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction.
AIAI
Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis
2021 J jnl
Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations.
Entropy
Nikos Kanakaris, Nikolaos Giarelis, Ilias Siachos, Nikos I. Karacapilidis
2020 — conf
An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents.
AIAI (1)
Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis
2020 — conf
On a Novel Representation of Multiple Textual Documents in a Single Graph.
KES-IDT
Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis
2020 C conf
On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process.
ICORES
Nikos Kanakaris, Nikos I. Karacapilidis, Georgios Kournetas
2020 B conf
On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction Perspective.
DS
Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis
2019 — conf
Combining Machine Learning and Operations Research Methods to Advance the Project Management Practice.
ICORES (Selected Papers)
Nikos Kanakaris, Nikos I. Karacapilidis, Georgios Kournetas, Alexis Lazanas
2019 C conf
On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools.
ICORES
Nikos Kanakaris, Nikos I. Karacapilidis, Alexis Lazanas
2019 C conf
Towards Reproducible Bioinformatics: The OpenBio-C Scientific Workflow Environment.
BIBE
Alexandros Kanterakis, Galateia Iatraki, Konstantina Pityanou, Lefteris Koumakis, Nikos Kanakaris, Nikos I. Karacapilidis, George Potamias
2015 — conf
9.1 A 13mm
ISSCC
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
2009 — conf
An S-band frontend receiver for mobile TV in 65nm CMOS.
ESSCIRC
Theodoros Chalvatzis, Kostis Vavelidis, Nikos Kanakaris, Iason Vassiliou
2008 J jnl
A 65 nm CMOS Multistandard, Multiband TV Tuner for Mobile and Multimedia Applications.
IEEE J. Solid State Circuits
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
2007 — conf
A 65nm CMOS multi-standard, multi-band mobile TV tuner.
ESSCIRC
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