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2020 – today
- 2024
[c7]Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver Schulte:
Deep Generative Models for Subgraph Prediction. ECAI 2024: 3128-3136- [i3]Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver Schulte:
Deep Generative Models for Subgraph Prediction. CoRR abs/2408.04053 (2024) - 2023
- [c6]Parmis Naddaf
, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte:
Joint Link Prediction Via Inference from a Model. CIKM 2023: 1877-1886 - [c5]Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte:
Neural Graph Generation from Graph Statistics. NeurIPS 2023 - 2022
- [c4]Kiarash Zahirnia, Oliver Schulte, Ke Li, Ankita Sakhuja, Parmis Naddaf:
Deep Learning of Latent Edge Types from Relational Data. Canadian AI 2022 - [c3]Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li:
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders. NeurIPS 2022 - [i2]Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li:
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders. CoRR abs/2210.16844 (2022) - 2021
- [i1]Kiarash Zahirnia, Ankita Sakhuja, Oliver Schulte, Parmis Nadaf, Ke Li, Xia Hu:
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning. CoRR abs/2106.15239 (2021)
2010 – 2019
- 2016
- [c2]Erfaneh Gharavi, Hadi Veisi, Kayvan Bijari, Kiarash Zahirnia:
A Fast Multi-level Plagiarism Detection Method Based on Document Embedding Representation. FIRE Workshop 2016: 94-108 - [c1]Erfaneh Gharavi, Kayvan Bijari, Kiarash Zahirnia, Hadi Veisi:
A Deep Learning Approach to Persian Plagiarism Detection. FIRE (Working Notes) 2016: 154-159
Coauthor Index
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