A comprehensive survey: Evaluating the efficiency of artificial intelligence and machine learning techniques on cyber security solutions
Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
Exploiting knowledge graphs in industrial products and services: a survey of key aspects, challenges, and future perspectives
The rapid development of information and communication technologies has enabled a value
co-creation paradigm for developing industrial products and services, where massive …
co-creation paradigm for developing industrial products and services, where massive …
A survey on knowledge graph embeddings for link prediction
M Wang, L Qiu, X Wang - Symmetry, 2021 - mdpi.com
Knowledge graphs (KGs) have been widely used in the field of artificial intelligence, such as
in information retrieval, natural language processing, recommendation systems, etc …
in information retrieval, natural language processing, recommendation systems, etc …
Medical knowledge graph: Data sources, construction, reasoning, and applications
Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …
been in use in a variety of intelligent medical applications. Thus, understanding the research …
Generative adversarial networks for spatio-temporal data: A survey
Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
Challenges and opportunities in deep reinforcement learning with graph neural networks: A comprehensive review of algorithms and applications
Deep reinforcement learning (DRL) has empowered a variety of artificial intelligence fields,
including pattern recognition, robotics, recommendation systems, and gaming. Similarly …
including pattern recognition, robotics, recommendation systems, and gaming. Similarly …
[HTML][HTML] Knowledge graph and knowledge reasoning: A systematic review
L Tian, X Zhou, YP Wu, WT Zhou, JH Zhang… - Journal of Electronic …, 2022 - Elsevier
The knowledge graph (KG) that represents structural relations among entities has become
an increasingly important research field for knowledge-driven artificial intelligence. In this …
an increasingly important research field for knowledge-driven artificial intelligence. In this …
Reinforcement learning for generative ai: A survey
Deep Generative AI has been a long-standing essential topic in the machine learning
community, which can impact a number of application areas like text generation and …
community, which can impact a number of application areas like text generation and …
Path-based multi-hop reasoning over knowledge graph for answering questions via adversarial reinforcement learning
H Cui, T Peng, R Han, J Han, L Liu - Knowledge-Based Systems, 2023 - Elsevier
Multi-hop knowledge graph question answering targets at pinpointing the answer entities by
inferring across multiple triples in knowledge graphs. To enhance model interpretability …
inferring across multiple triples in knowledge graphs. To enhance model interpretability …
[HTML][HTML] A systematic literature review of reinforcement learning-based knowledge graph research
Abstract Knowledge graphs (KGs) model entities or concepts and their relations in a
structural manner. The incompleteness has turned out to be the main challenge that hinders …
structural manner. The incompleteness has turned out to be the main challenge that hinders …