Sarunas Girdzijauskas

Orcid: 0000-0003-4516-7317

According to our database1, Sarunas Girdzijauskas authored at least 95 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors.
CoRR, 2024

2023
Classifying falls using out-of-distribution detection in human activity recognition.
AI Commun., 2023

Graph2Feat: Inductive Link Prediction via Knowledge Distillation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Learning Cellular Coverage from Real Network Configurations using GNNs.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

On Learning Embeddings at the Intersection of Communities and Roles.
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023

Mitigating Sybil Attacks in Federated Learning.
Proceedings of the Information Security Practice and Experience, 2023

Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Data-Driven Self-Supervised Graph Representation Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Temporal Differential Privacy for Human Activity Recognition.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Pedestrian trajectory prediction with convolutional neural networks.
Pattern Recognit., 2022

Adaptive Expert Models for Personalization in Federated Learning.
CoRR, 2022

SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Federated Naive Bayes under Differential Privacy.
Proceedings of the 19th International Conference on Security and Cryptography, 2022

Out-of-distribution in Human Activity Recognition.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

Mixing temporal experts for Human Activity Recognition.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Open World Learning Graph Convolution for Latency Estimation in Routing Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Adaptive Expert Models for Federated Learning.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Towards a Realistic Decentralized Naive Bayes with Differential Privacy.
Proceedings of the E-Business and Telecommunications - 19th International Conference, 2022

Detecting Security Patches in Java Projects Using NLP Technology.
Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

Not Only Degree Matters: Diffusion-Driven Role Recognition.
Proceedings of the OASIS@HT 2022: Open Challenges in Online Social Networks, 2022

Towards a decentralized infrastructure for data marketplaces: narrowing the gap between academia and industry.
Proceedings of the 1st International Workshop on Data Economy, 2022

2021
Knowledge distillation on neural networks for evolving graphs.
Soc. Netw. Anal. Min., 2021

Confidence-Calibrated Human Activity Recognition.
Sensors, 2021

Jointly Learnable Data Augmentations for Self-Supervised GNNs.
CoRR, 2021

Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning.
CoRR, 2021

Self-supervised Graph Neural Networks without explicit negative sampling.
CoRR, 2021

Dynamic Embeddings for Interaction Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Decentralized Word2Vec Using Gossip Learning.
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

PDS<sup>2</sup>: A user-centered decentralized marketplace for privacy preserving data processing.
Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

LiMNet: Early-Stage Detection of IoT Botnets with Lightweight Memory Networks.
Proceedings of the Computer Security - ESORICS 2021, 2021

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Meta-reinforcement learning via buffering graph signatures for live video streaming events.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Socially aware microcloud service overlay optimization in community networks.
Softw. Pract. Exp., 2020

Graph Neighborhood Attentive Pooling.
CoRR, 2020

Domain expertise-agnostic feature selection for the analysis of breast cancer data*.
Artif. Intell. Medicine, 2020

Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Gossip and Attend: Context-Sensitive Graph Representation Learning.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Repeating Link Prediction over Dynamic Graphs.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Blockchain Technology: Practical P2P Computing (Tutorial).
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Eliciting Structures in Data.
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Trust Mends Blockchains: Living up to Expectations.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Gossip Learning: Off the Beaten Path.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Peer-to-Peer System.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Peer-to-Peer Overlay Networks: Structure, Routing and Maintenance.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Overlay Network.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

When Trust Saves Energy: A Reference Framework for Proof of Trust (PoT) Blockchains.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

CAS2VEC: Network-Agnostic Cascade Prediction in Online Social Networks.
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

Human Activity Recognition Using Federated Learning.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

SELECT: A Distributed Publish/Subscribe Notification System for Online Social Networks.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Stad: Stateful Diffusion for Linear Time Community Detection.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

BeaConvey: Co-Design of Overlay and Routing for Topic-based Publish/Subscribe on Small-World Networks.
Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, 2018

Spatio-Temporal Multiple Geo-Location Identification on Twitter.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018

2017
Load Balancing for Skewed Streams on Heterogeneous Cluster.
CoRR, 2017

AdaGraph: Adaptive Graph-Based Algorithms for Spam Detection in Social Networks.
Proceedings of the Networked Systems - 5th International Conference, 2017

Gossip-based service monitoring platform for wireless edge cloud computing.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

DeGPar: Large Scale Topic Detection Using Node-Cut Partitioning on Dense Weighted Graphs.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Fully Dynamic Algorithm for Top-<i>k</i> Densest Subgraphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
CADIVa: cooperative and adaptive decentralized identity validation model for social networks.
Soc. Netw. Anal. Min., 2016

Top-k densest subgraphs in sliding-window graph streams.
CoRR, 2016

Gossip-Based Behavioral Group Identification in Decentralized OSNs.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Tovel: Distributed Graph Clustering for Word Sense Disambiguation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Beat the DIVa - decentralized identity validation for online social networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

DLSAS: Distributed Large-Scale Anti-Spam Framework for Decentralized Online Social Networks.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

2015
A Distributed Algorithm for Large-Scale Graph Partitioning.
ACM Trans. Auton. Adapt. Syst., 2015

Semi-Supervised Multiple Disambiguation.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Socially-aware distributed hash tables for decentralized online social networks.
Proceedings of the 2015 IEEE International Conference on Peer-to-Peer Computing, 2015

DIVa: Decentralized Identity Validation for Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Parallel Community Detection for Cross-Document Coreference.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Short: Gossip-Based Sampling in Social Overlays.
Proceedings of the Networked Systems - Second International Conference, 2014

Distributed Vertex-Cut Partitioning.
Proceedings of the Distributed Applications and Interoperable Systems, 2014

Divide the Task, Multiply the Outcome: Cooperative VM Consolidation.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

Gossip-based partitioning and replication for Online Social Networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
JA-BE-JA: A Distributed Algorithm for Balanced Graph Partitioning.
Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013

2012
Locality-Awareness in a Peer-to-Peer Publish/Subscribe Network.
Proceedings of the Distributed Applications and Interoperable Systems, 2012

2011
Fuzzynet: Ringless routing in a ring-like structured overlay.
Peer-to-Peer Netw. Appl., 2011

Vitis: A Gossip-based Hybrid Overlay for Internet-scale Publish/Subscribe Enabling Rendezvous Routing in Unstructured Overlay Networks.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

2010
Structured overlay for heterogeneous environments: Design and evaluation of oscar.
ACM Trans. Auton. Adapt. Syst., 2010

Magnet: practical subscription clustering for Internet-scale publish/subscribe.
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems, 2010

2009
Peer-to-Peer System.
Proceedings of the Encyclopedia of Database Systems, 2009

Peer to Peer Overlay Networks: Structure, Routing and Maintenance.
Proceedings of the Encyclopedia of Database Systems, 2009

Overlay Network.
Proceedings of the Encyclopedia of Database Systems, 2009

Distributed Hash Table.
Proceedings of the Encyclopedia of Database Systems, 2009

2007
On Routing in Distributed Hash Tables.
Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007

Oscar: A Data-Oriented Overlay For Heterogeneous Environments.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
Mapping Moving Landscapes by Mining Mountains of Logs: Novel Techniques for Dependency Model Generation.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Oscar: Small-World Overlay for Realistic Key Distributions.
Proceedings of the Databases, 2006

2005
The Essence of P2P: A Reference Architecture for Overlay Networks.
Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing (P2P 2005), 31 August, 2005

On Small World Graphs in Non-uniformly Distributed Key Spaces.
Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

2004
On de Bruijn Routing in Distributed Hash Tables: There and Back Again.
Proceedings of the 4th International Conference on Peer-to-Peer Computing (P2P 2004), 2004


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