Latest findings in pre-training graphs and using them for link recommendation

Exploring the Potential of Temporal Feature-Logic Embedding (TFLEX) in Complex Query Resolution

Techniques to integrate Knowledge Graphs into Language Models

Integrating temporal data into static knowledge graphs

Definition A research collaboration network is a group of researchers, and practitioners, or both, working together on joint research activities.

Understanding Sequential Data Modelling with Keras for Time Series Prediction Author Wenyi Pi ( ORCID : 0009–0002–2884–2771) Introduction Recurrent Neural Networks (RNNs) are a special type of neural networks that are suitable for learning representations of sequential data like text in Natural Language Processing (NLP). We will walk through a complete example of using RNNs for time series prediction, covering

Understanding the Power and Applications of Natural Language Processing Author Dhruv Gupta ( ORCID: 0009–0004–7109–5403) Introduction We are living in the era of generative AI. In an era where you can ask AI models almost anything, they will most certainly have an answer to the query. With the increased computational power and the amount of textual data, these models are bound to improve their performance.

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Latest findings in multiple research directions for handling graph construction and network security issues

Bridging Human Perception and AI’s Future: The Convergence of Visual Understanding and Semantic Networks

Prompt Engineering — Part 2 Using intelligence to use artificial Intelligence: A deep dive into Prompt Engineering Author Dhruv Gupta (ORCID: 0009–0004–7109–5403 ) Introduction In the previous article we discussed what prompt engineering and some of the techniques used for prompt engineering.