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20092021
most citedDeep Learning Approach on Information Diffusion in Heterogeneous Networks

56 citations · 223 across the 24 of their papers we have counts for

collaborators

26 papers

cs.LG2021

Low-rank Dictionary Learning for Unsupervised Feature Selection

Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee

There exist many high-dimensional data in real-world applications such as biology, computer vision, and social networks. Feature selection approaches are devised to confront with h…

cs.SI2019★ 22 cited

Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach

Hadi Zare, Mahdi Hajiabadi, Mahdi Jalili

Community detection is considered as a fundamental task in analyzing social networks. Even though many techniques have been proposed for community detection, most of them are based…

cs.LG2019

Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering

Mohsen Ghassemi Parsa, Hadi Zare, Mehdi Ghatee

Feature selection methods have an important role on the readability of data and the reduction of complexity of learning algorithms. In recent years, a variety of efforts are invest…

math.AT2019

An algorithmic search for -annihilated classes in the Dyer-Lashof algebra and I. Closed form for low lengths and tables in low dimensions

Seyyed Mohammad Ali HasanZadeh, Hadi Zare

The aim of this work is to publicise some computational results involving tables which contain -annihilated monomials, excluding square classes, in the Dyer-Lashof alg…

cs.CL2019★ 43 cited

Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications

Kayvan Bijari, Hadi Zare, Emad Kebriaei +1

Over the last few years, machine learning over graph structures has manifested a significant enhancement in text mining applications such as event detection, opinion mining, and ne…

cs.SI2019★ 56 cited

Deep Learning Approach on Information Diffusion in Heterogeneous Networks

Soheila Molaei, Hadi Zare, Hadi Veisi

There are many real-world knowledge based networked systems with multi-type interacting entities that can be regarded as heterogeneous networks including human connections and biol…