Neo4j APOC Library Use Case Author Wenyi Pi ( ORCID: 0009–0002–2884–277) Introduction In the realm of Neo4j, the APOC (Awesome Procedures on Cypher) library stands as a powerful tool. Previously, We have talked about the importance of APOC in optimising Cypher queries and improving query efficiency in our article Exploring Methods of Cypher Query Optimisations.
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
Integrating temporal data into static knowledge graphs
Techniques to integrate Knowledge Graphs into Language Models
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.
Bridging Human Perception and AI’s Future: The Convergence of Visual Understanding and Semantic Networks
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Latest findings in multiple research directions for handling graph construction and network security issues