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In order to extract the relevant information from the documents, Graph neural networks (GNNs) is the neural structure that detains the interrelation of the graph by progressing the messages between the graphical nodes. In the current years, the advanced version of GNNs, such as graph attention network (GAN), graph recurrent network, and graph convolutional network (GCN) provides a remarkable performance in text summarization with the advantage of deep learning techniques. Hence, in this survey, graph approaches for text summarization has been analyzed and discussed, where the recent text summarization model based on Deep learning techniques are highlighted. Further, the article provides the taxonomy to abstract the design pattern of Neural Networks and conducts a comprehensive of the existing text summarization model. Finally, the review article enlists the future direction of the researcher, which would motivate the enthusiastic and novel contributions in text summarizations.<\/jats:p>","DOI":"10.3233\/web-230014","type":"journal-article","created":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T07:53:07Z","timestamp":1687593187000},"page":"231-248","source":"Crossref","is-referenced-by-count":3,"title":["Over comparative study of text summarization techniques based on graph neural networks"],"prefix":"10.1177","volume":"22","author":[{"given":"Samina","family":"Mulla","sequence":"first","affiliation":[{"name":"Research Centre Department of Computer Engineering STES\u2019s, Smt Kashibai Navale College of Engineering, Pune Vadgaon Budruk, Pune, Maharashtra 411041, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nuzhat\u00a0F.","family":"Shaikh","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Modern Education Society\u2019s College of Engineering (MESCOE), Pune 19, Late Prin. 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