Cuneyt Gurcan Akcora

According to our database1, Cuneyt Gurcan Akcora authored at least 41 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
EMP: Effective Multidimensional Persistence for Graph Representation Learning.
CoRR, 2024

Explaining the Power of Topological Data Analysis in Graph Machine Learning.
CoRR, 2024

2023
Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain.
CoRR, 2023

A fast topological approach for predicting anomalies in time-varying graphs.
CoRR, 2023

Core-based Trend Detection in Blockchain Networks.
CoRR, 2023

CALOSYS - A Robust Blockchain-based Marketing Loan Ecosystem for Small Businesses.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

2022
Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota.
WIREs Data Mining Knowl. Discov., 2022

Topological Forest.
IEEE Access, 2022

Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph-based Management and Mining of Blockchain Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks.
IEEE Trans. Knowl. Data Eng., 2021

Smart Vectorizations for Single and Multiparameter Persistence.
CoRR, 2021

Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Alphacore: Data Depth based Core Decomposition.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Data Science on Blockchains.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AI for Security and Security for AI.
Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021

2020
How to Not Get Caught When You Launder Money on Blockchain?
CoRR, 2020

Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph?
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain.
CoRR, 2019

ChainNet: Learning on Blockchain Graphs with Topological Features.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Similarity Metrics on Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Graphical User Interfaces for Privacy Settings.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Forecasting Bitcoin Price with Graph Chainlets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Attacklets: Modeling High Dimensionality in Real World Cyberattacks.
Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018

Blockchain Data Analytics.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Blockchain: A Graph Primer.
CoRR, 2017

2015
Temporal Rules Discovery for Web Data Cleaning.
Proc. VLDB Endow., 2015

2014
Similarity Metrics on Social Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

Profiling user interactions on online social networks.
PhD thesis, 2014

Detecting anomalies in social network data consumption.
Soc. Netw. Anal. Min., 2014

Discovering trust patterns in ego networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
User similarities on social networks.
Soc. Netw. Anal. Min., 2013

Trend sensing via Twitter.
Int. J. Ad Hoc Ubiquitous Comput., 2013

Multi-Dimensional Conversation Analysis Across Online Social Networks.
Proceedings of the 2013 International Conference on Cloud and Green Computing, Karlsruhe, Germany, September 30, 2013

2012
Risks of Friendships on Social Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Privacy in Social Networks: How Risky is Your Social Graph?
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Network and profile based measures for user similarities on social networks.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

2010
Crowd-sourced sensing and collaboration using twitter.
Proceedings of the 11th IEEE International Symposium on a World of Wireless, 2010

Identifying breakpoints in public opinion.
Proceedings of the First Workshop on Social Media Analytics, 2010


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