Konstantinos Sotiropoulos

According to our database, Konstantinos Sotiropoulos authored at least 14 papers between 2016 and 2024.

Collaborative distances:

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

2024

ULTRA-MC: A Unified Approach to Learning Mixtures of Markov Chains via Hitting Times.

Fabian Spaeh, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

CoRR, 2024

On the Role of Edge Dependency in Graph Generative Models.

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity.

Atsushi Miyauchi, Tianyi Chen, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach.

Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu

Proceedings of the IEEE International Conference on Big Data, 2023

2021

On the Power of Edge Independent Graph Models.

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Triangle-aware Spectral Sparsifiers and Community Detection.

Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

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

DeepWalking Backwards: From Embeddings Back to Graphs.

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Node Embeddings and Exact Low-Rank Representations of Complex Networks.

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

TwitterMancer: Predicting Interactions on Twitter Accurately.

Konstantinos Sotiropoulos, John W. Byers, Polyvios Pratikakis, Charalampos E. Tsourakakis

CoRR, 2019

TwitterMancer: Predicting User Interactions on Twitter.

Konstantinos Sotiropoulos, John W. Byers, Polyvios Pratikakis, Charalampos E. Tsourakakis

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Big Data Clustering via Community Detection and Hyperbolic Network Embedding in IoT Applications.

Vasileios Karyotis, Konstantinos Tsitseklis, Konstantinos Sotiropoulos, Symeon Papavassiliou

Sensors, 2018

Enhancing Community Detection for Big Sensor Data Clustering via Hyperbolic Network Embedding.

Vasileios Karyotis, Konstantinos Tsitseklis, Konstantinos Sotiropoulos, Symeon Papavassiliou

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

2017

Hyperbolic Embedding for Efficient Computation of Path Centralities and Adaptive Routing in Large-Scale Complex Commodity Networks.

Eleni Stai, Konstantinos Sotiropoulos, Vasileios Karyotis, Symeon Papavassiliou

IEEE Trans. Netw. Sci. Eng., 2017

2016

Hyperbolic Traffic Load Centrality for large-scale complex communications networks.

Eleni Stai, Konstantinos Sotiropoulos, Vasileios Karyotis, Symeon Papavassiliou

Proceedings of the 23rd International Conference on Telecommunications, 2016