A random projection approach for estimation of the betweenness centrality measure. - Hadi Zare 001; Adel Mohammadpour; Parham Moradi (Intell. Data Anal., 2013)

Relevant based structure learning for feature selection. - Hadi Zare 001; Mojtaba Niazi (Eng. Appl. Artif. Intell., 2016)

A novel hybrid method for improving ambulance dispatching response time through a simulation study. - Mehdi Zarkeshzadeh; Hadi Zare 001; Zainabolhoda Heshmati; Mehdi Teimouri (Simul. Model. Pract. Theory, 2016)

IEDC: An integrated approach for overlapping and non-overlapping community detection. - Mahdi Hajiabadi; Hadi Zare 001; Hossein Bobarshad (Knowl. Based Syst., 2017)

Memory-enriched big bang-big crunch optimization algorithm for data clustering. - Kayvan Bijari; Hadi Zare 001; Hadi Veisi; Hossein Bobarshad (Neural Comput. Appl., 2018)

Deep Sentiment Analysis using a Graph-based Text Representation. - Kayvan Bijari; Hadi Zare 001; Hadi Veisi; Emad Kebriaei (CoRR, 2019)

Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification. - Shadi Abpeykar; Mehdi Ghatee; Hadi Zare 001 (Comput. Stat. Data Anal., 2019)

Relaxing Pairwise Conditional Dependency of NB Attributes using Hidden Variables. - Sasan Hossein Alizadeh; Nima Shiri Harzevili; Alireza Hediehloo; Hadi Zare 001 (IST, 2020)

Similarity Preserving Unsupervised Feature Selection based on Sparse Learning. - Hadi Zare 001; Mohsen Ghassemi Parsa; Mehdi Ghatee; Sasan Hossein Alizadeh (IST, 2020)

Unsupervised feature selection based on adaptive similarity learning and subspace clustering. - Mohsen Ghassemi Parsa; Hadi Zare 001; Mehdi Ghatee (Eng. Appl. Artif. Intell., 2020)

Leveraging deep graph-based text representation for sentiment polarity applications. - Kayvan Bijari; Hadi Zare 001; Emad Kebriaei; Hadi Veisi (Expert Syst. Appl., 2020)

Deep learning approach on information diffusion in heterogeneous networks. - Soheila Molaei; Hadi Zare 001; Hadi Veisi (Knowl. Based Syst., 2020)

Manifold Approximation and Projection by Maximizing Graph Information. - Bahareh Fatemi; Soheila Molaei; Hadi Zare 001; Shirui Pan (PAKDD (3), 2021)

Collaborative Deep Forest Learning for Recommender Systems. - Soheila Molaei; Amirhossein Havvaei; Hadi Zare 001; Mahdi Jalili (IEEE Access, 2021)

An improved limited random walk approach for identification of overlapping communities in complex networks. - Sondos Bahadori; Parham Moradi; Hadi Zare 001 (Appl. Intell., 2021)

Classification of audio codecs with variable bit-rates using deep-learning methods. - Atieh Khodadadi; Soheila Molaei; Mehdi Teimouri; Hadi Zare 001 (Digit. Signal Process., 2021)

PODCD: Probabilistic overlapping dynamic community detection. - Sondos Bahadori; Hadi Zare 001; Parham Moradi (Expert Syst. Appl., 2021)

Deep node clustering based on mutual information maximization. - Soheila Molaei; Nima Ghanbari Bousejin; Hadi Zare 001; Mahdi Jalili (Neurocomputing, 2021)

Detection of Community Structures in Networks With Nodal Features based on Generative Probabilistic Approach. - Hadi Zare 001; Mahdi Hajiabadi; Mahdi Jalili (IEEE Trans. Knowl. Data Eng., 2021)

Low-rank dictionary learning for unsupervised feature selection. - Mohsen Ghassemi Parsa; Hadi Zare 001; Mehdi Ghatee (Expert Syst. Appl., 2022)

GrAR: A novel framework for Graph Alignment based on Relativity concept. - Mohammad Ali Soltanshahi; Babak Teimourpour; Toktam Khatibi; Hadi Zare 001 (Expert Syst. Appl., 2022)

Graph Variational Embedding Collaborative Filtering. - Narges Sadat Fazeli Dehkordi; Hadi Zare 001; Parham Moradi; Mahdi Jalili (CoRR, 2023)

Graph representation learning based on deep generative gaussian mixture models. - Ghazaleh Niknam; Soheila Molaei; Hadi Zare 001; David A. Clifton; Shirui Pan (Neurocomputing, 2023)

Learning Graph Representations With Maximal Cliques. - Soheila Molaei; Nima Ghanbari Bousejin; Hadi Zare 001; Mahdi Jalili; Shirui Pan (IEEE Trans. Neural Networks Learn. Syst., 2023)

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. - Ghazaleh Niknam; Soheila Molaei; Hadi Zare 001; Shirui Pan; Mahdi Jalili; Tingting Zhu 001; David A. Clifton (Neural Networks, 2023)

BuB: a builder-booster model for link prediction on knowledge graphs. - Mohammad Ali Soltanshahi; Babak Teimourpour; Hadi Zare 001 (Appl. Netw. Sci., 2023)

Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. - Soheila Molaei; Anshul Thakur; Ghazaleh Niknam; Andrew A. S. Soltan; Hadi Zare 001; David A. Clifton (AISTATS, 2024)

Unsupervised Graph-Based Anomaly Detection Using Variational Autoencoder. - Zeinab Sadat Sadrolhefazi; Hadi Zare 001; Seyyed Amir Asghari; Parham Moradi; Mahdi Jalili (ICDM (Workshops), 2024)

DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction. - Hossein Rafiee Zade; Hadi Zare 001; Mohsen Ghassemi Parsa; Hadi Davardoust; Meshkat Shariat Bagheri (CoRR, 2024)

Temporal dynamics unleashed: Elevating variational graph attention. - Soheila Molaei; Ghazaleh Niknam; Ghadeer O. Ghosheh; Vinod Kumar Chauhan; Hadi Zare 001; Tingting Zhu 001; Shirui Pan; David A. Clifton (Knowl. Based Syst., 2024)

Uncertainty Quantification to Enhance Probabilistic-Fusion-Based User Identification Using Smartphones. - Rouhollah Ahmadian; Mehdi Ghatee; Johan Wahlström; Hadi Zare 001 (IEEE Internet Things J., 2024)