International Conference on Computer and Knowledge Engineering

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Graph Representation Learning Towards Patents Network Analysis

Authors :

Mohammad Heydari¹ Babak Teimourpour²

1- Tarbiat Modares University 2- Tarbiat Modares University

Keywords :

Graph Representation Learning, Deep Learning, Patents Analysis, Graph Algorithms

Abstract :

Patent analysis has recently been recognized as a powerful technique for large companies in the world to lend them insight into the age of competition among various industries. This technique is considered a shortcut for developing countries since it can significantly accelerate their technology development. Therefore, as an inevitable process, patent analysis can be utilized to monitor rival companies and diverse industries. In this research, a graph representation learning approach employed to create, analyze and find similarities of the patents data registered in the Iranian Official Gazette. The patent records were scrapped and wrangled through the Iranian Official Gazette portal. Afterward, the key entities were extracted from the scrapped patents dataset to create the Iranian patents graph from scratch based on novel natural language processing and entity resolution technique. Finally, thanks to the utilization of novel graph algorithms and text mining methods, we identified new areas of industry and research from Iranian patent data, which can be used extensively to prevent duplicate patents, familiarity with similar and connected inventions, Awareness of legal entities supporting patents and knowledge of researchers and linked stakeholders in a particular research field.

Papers List

List of archived papers

An Efficient Approach for Breast Abnormality Detection through High-Level Features of Thermography Images

Farhad Abedinzadeh Torghabeh - Yeganeh Modaresnia - Seyyed Abed Hosseini

Hybrid Vision Transformer for Detection of Dentigerous Cysts in Dental Radiography Images

Reza Tavasoli - Arya VarastehNezhad - Hamed Farbeh

Bipartite link prediction improvement using the effective utilization of edge betweenness centrality

Sadegh Sulaimany Sulaimany - Yasin Amini

Pruning and Mixed Precision Techniques for Accelerating Neural Network

Mahsa Zahedi - Mohammad Sediq Abazari Bozhgani - Abdorreza Savadi

Virtual machine consolidation using SLA-aware genetic algorithm placement for data centers with non-stationary workloads

Hossein Monshizadeh Naeen

Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics

Masoumeh Chapariniya - Teodora Vukovic - Sarah Ebling - Volker Dellwo

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

African Vultures Optimization Algorithm for Optimal Damping Controllers Design in the Electrical Power Grid System

Aliyu Sabo - Theophilus Ebuka Odoh - Samuel Habu - Hossein Shahinzadeh - Farshad Ebrahimi

A supervised approach using transformer networks for the detection of turning-related anomalies in urban intersections

Mohammad Mahdi HajiAbadi - Manoochehr Nahvi

Optimization of quantum secret sharing communication using corresponding bits

Mahsa Khorrampanah - Mohammad Bolokian - Monireh Houshmand