Nikos Kanakaris

Applied Scientist II, Amazon

Joined

April 2021

Names

Nikos Kanakaris (Preferred)

Emails

****@upnet.gr (Confirmed)

****@usc.edu (Confirmed)

****@gmail.com (Confirmed)

****@amazon.com (Confirmed)

Personal Links

Career & Education History

Applied Scientist II

Amazon (amazon.com)

2025 – Present

Postdoc

University of Southern California (usc.edu)

2024 – 2025

PhD student

University of Patras, Greece (upatras.gr)

2018 – 2022

Advisors, Relations & Conflicts

Postdoc Advisor

Paul Bogdan

2024 – 2024

PhD Advisor

Nikos Karacapilidis

2018 – 2022

Expertise

No areas of expertise listed

Publications

MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
Zeyue Zhang, Heng Ping, Peiyu Zhang, Nikos Kanakaris, Xiaoling LU, Paul Bogdan, Xiongye Xiao
- NeurIPS 2025 poster
- Readers: Everyone
Software bug prediction using graph neural networks and graph-based text representations
Ilias Siachos, Nikos Kanakaris, Nikos I. Karacapilidis
- Expert Syst. Appl. 2025
- Readers: Everyone
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yi-Zhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan
- ICLR 2025 Poster
- Readers: Everyone
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 Capotă, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
- NeurIPS 2024 poster
- Readers: Everyone
A structure-aware framework for learning device placements on computation graphs
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
- CoRR 2024
- Readers: Everyone
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 et al. (53 additional authors not shown)
- CoRR 2024
- Readers: Everyone
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
- Readers: Everyone
Is it a bug or a feature? Identifying software bugs using graph attention networks
Nikos Kanakaris, Ilias Siachos, Nikos I. Karacapilidis
- ICTAI 2022
- Readers: Everyone
Predicting prices of Airbnb listings via Graph Neural Networks and Document Embeddings: The case of the island of Santorini
Nikos Kanakaris, Nikos I. Karacapilidis
- CENTERIS/ProjMAN/HCist 2022
- Readers: Everyone
Detection of fake news campaigns using graph convolutional networks
Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis
- Published: 01 Jan 2022, Last Modified: 17 Nov 2023
- Int. J. Inf. Manag. Data Insights 2022
- Readers: Everyone

View all 19 publications

Co-Authors

View all 101 co-authors