Hamidreza Mahyar

Orcid: 0000-0002-2605-9719

Affiliations:
  • TU Wien, Vienna, Austria


According to our database1, Hamidreza Mahyar authored at least 37 papers between 2013 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation.
CoRR, April, 2026

When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering.
CoRR, January, 2026

Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings.
CoRR, August, 2025

Towards Domain Specification of Embedding Models in Medicine.
CoRR, July, 2025

Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case Study.
CoRR, April, 2025

A Novel Method for Community Detection in Bipartite Networks.
Inf., 2025

Video Anomaly Detection With Probabilistic Modelling and Ensemble Learning on Deep Spatiotemporal Features.
IET Image Process., 2025

2024
Deep Learning Approaches on Image Captioning: A Review.
ACM Comput. Surv., March, 2024

MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysis.
Frontiers Artif. Intell., 2024

ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain.
Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

2023
A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval.
J. Signal Process. Syst., April, 2023

Deep Learning Approaches in Pavement Distress Identification: A Review.
CoRR, 2023

MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis.
CoRR, 2023

Contour Completion using Deep Structural Priors.
CoRR, 2023

Autonomous Vehicles: Open-Source Technologies, Considerations, and Development.
Adv. Artif. Intell. Mach. Learn., 2023

2022
A Matrix Factorization Model for Hellinger-Based Trust Management in Social Internet of Things.
IEEE Trans. Dependable Secur. Comput., 2022

SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework.
CoRR, 2022

Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images.
CoRR, 2022

DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Medial Spectral Coordinates for 3D Shape Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs.
CoRR, 2019

A Matrix Factorization Model for Hellinger-based Trust Management in Social IoT.
CoRR, 2019

Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks.
CoRR, 2019

Compressive closeness in networks.
Appl. Netw. Sci., 2019

2018
Identifying central nodes for information flow in social networks using compressive sensing.
Soc. Netw. Anal. Min., 2018

Unsupervised Wafermap Patterns Clustering via Variational Autoencoders.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Compressive Sensing Framework for Distributed Detection of High Closeness Centrality Nodes in Networks.
Proceedings of the Complex Networks and Their Applications VII, 2018

Compressed Sensing in Cyber Physical Social Systems.
Proceedings of the Principles of Modeling, 2018

2017
HellRank: a Hellinger-based centrality measure for bipartite social networks.
Soc. Netw. Anal. Min., 2017

Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016
HellRank: A Hellinger-based Centrality Measure for Bipartite Social Networks.
CoRR, 2016

Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction.
CoRR, 2016

2015
A Low-Cost Sparse Recovery Framework for Weighted Networks under Compressive Sensing.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

CS-ComDet: A Compressive Sensing Approach for Inter-Community Detection in Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Detection of Top-K Central Nodes in Social Networks: A Compressive Sensing Approach.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2013
UCS-NT: An unbiased compressive sensing framework for Network Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2013


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