This repository presents a collection of resources focused on knowledge graphs, a crucial area in artificial intelligence and data science. It aims to be a central hub for researchers and practitioners seeking information on the representation, acquisition, and application of knowledge graphs. The project encompasses a variety of resources, including survey papers, research papers categorized by topic, data sources, libraries, and tools. It covers various aspects of knowledge graph research, such as embedding techniques, relation extraction, reasoning methods, and applications across diverse domains.
This repository offers a comprehensive and organized collection of resources related to knowledge graphs, spanning survey papers, research papers, datasets, and software tools. It provides a structured overview of the field, categorized by topic and application, making it a valuable resource for researchers and practitioners alike. The inclusion of links to relevant resources and a focus on recent publications ensures the repository remains up-to-date with the latest developments in knowledge graph research.
- Survey Papers: A curated collection of survey papers providing comprehensive overviews of knowledge graph research areas.
- Research Papers: Aggregated research papers organized by categories and venues for efficient exploration.
- Datasets: A wide range of general and domain-specific knowledge graphs and related datasets.
- Libraries & Tools: A list of software libraries and tools for knowledge graph representation, embedding, and reasoning.
- Data Resources: Access to numerous public knowledge graphs and data sources.
- Application Areas: Focus on the practical application of knowledge graphs in fields like NLP, question answering, and recommendation systems.
- COVID-19 Knowledge Graphs: Dedicated data and resources surrounding knowledge graphs related to COVID-19 research.
The repository is actively maintained with new resources and updates being added regularly. It includes a diverse range of materials, from foundational survey papers to recent research publications and implementations. The project exhibits a good level of organization and is constantly evolving to reflect the latest advancements in the field. The presence of numerous resources and the ongoing updates indicate a healthy maintenance activity.
This repository benefits researchers, developers, and students interested in knowledge graphs by providing a centralized location for relevant resources. It supports research efforts by offering comprehensive surveys, research papers, and datasets. Furthermore, it facilitates practical application by providing access to libraries, tools, and real-world knowledge graphs. The collection offers significant value by streamlining the process of discovering and accessing knowledge graph resources.