Lokesh Sharma – Medium

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AI Matchmakers: Why Graph Neural Networks are Better than MLPs?

Graph Neural Networks (GNN)! Imagine them as the matchmakers of the AI universe, tirelessly helping data points find friends and popularity by exploring their connections. The ultimate wingman at a digital party. Now, why are these GNNs so crucial, you ask? Well, in real life everything seems to be connected…

Pytorch Geometric

15 min read

AI Matchmakers: Why Graph Neural Networks are better than MLPs?

Pytorch Geometric

15 min read

Aug 26

Knowledge Graph Construction with Ontologies in Neo4j— Part 2

Continuing our exploration of Knowledge Graphs and Ontologies, this next part delves into hands-on implementation. Let’s transform flat CSV files into a dynamic knowledge graph using Python, building upon the groundwork from Part 1 🚀🔍 Since we intend to build the graph structure in Neo4j we will need cypher queries…

Knowledge Graph

9 min read

Knowledge Graph

9 min read

Aug 26

Knowledge Graph Construction with Ontologies — Part 1

Confused by terms like “Knowledge Graphs,” “Graph Databases,” “Semantic Web,” or “Ontologies”? Don’t worry, this blog post is here to help! I get the overwhelm from these tech terms. Questions like “What are these?” “When to use them?” “Why do they matter?” and “How do ontologies link to knowledge graphs?”…

Neo4j

7 min read

Knowledge Graph Construction with Ontologies — Part 1

Neo4j

7 min read

Aug 14

Cracking Recommender Systems with Heterogeneous Graph Learning — Part 1

So, here’s the scoop: HeteroGraphs hold a world of potential and the Regular ol’ graphs just can’t cut it. Conventional homogeneous graphs struggle to handle the complexity of diverse relationships and edge types. It’s time for the big guns — advanced architectures that can wrangle the complexities of the datasets…

Graph Neural Networks

8 min read

Cracking Recommender Systems with Heterogeneous Graph Learning — Part 1

Graph Neural Networks

8 min read