A Novel Syntactical Clustering using Graph Convolutional Network for Documents

I am looking for a skilled freelancer to work on a project building a Novel Syntactical Clustering using Graph Convolutional Network for Documents. The primary goal is to categorize academic papers to enhance the understanding of relationships and patterns. The documents used for the project are labeled and structured. The aim of this project is to create an advanced graph convolutional network program that is able to analyze the documents and develop clusters that can be used to better understand relationships between the documents. As part of this project, the freelancer would have to apply specialist techniques to understand the text-based knowledge present in the documents and to produce meaningful results. Work would also involve reading through large volumes of documents, to identify patterns and relationships, and develop programs to categorize the documents based on the detected patterns. As such, the ideal freelancer requires strong analytical, technical, communication and problem-solving abilities. An in-depth understanding of textual analysis and data science concepts is also essential.