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Artificial Intelligence
Graph Neural Networks Part 3: How GraphSAGE Handles Changing Graph Structure
parts of this series, we checked out Graph Convolutional Networks (GCNs) and Graph Attention Networks (GATs). Each architectures work effective, but additionally they have some limitations! A giant one is that for big...
Artificial Intelligence
When Graph AI Meets Generative AI: A Recent Era in Scientific Discovery
Lately, artificial intelligence (AI) has emerged as a key tool in scientific discovery, opening up recent avenues for research and accelerating the pace of innovation. Amongst the varied AI technologies, Graph AI and Generative...
Artificial Intelligence
The right way to Query a Knowledge Graph with LLMs Using gRAG
Google, Microsoft, LinkedIn, and plenty of more tech corporations are using Graph RAG. Why? Let’s understand it by constructing one from scratch.You could not understand it, but you’ve been interacting with Knowledge Graphs (KGs)...
Artificial Intelligence
The Floyd-Warshall Algorithm From Graph Theory, Applied to Parsing Molecular Structures
Hands-on explanations assisted by easy JavaScript codeThe Floyd-Warshall algorithm is crucial in graph theory because it provides an efficient means to compute the shortest paths between all pairs of nodes in a graph. This...
Artificial Intelligence
Samsung Electronics Acquires Knowledge Graph Technology Startup Oxford Semantic Technologies
Samsung Electronics (CEO Jong-hee Han) announced on the 18th that it has signed a contract to accumulate Oxford Semantic Technologies, a British startup with knowledge graph technology.
Oxford Semantic Technologies is a startup co-founded in...
Artificial Intelligence
Power of Graph RAG: The Way forward for Intelligent Search
Because the world becomes increasingly data-driven, the demand for accurate and efficient search technologies has never been higher. Traditional search engines like google and yahoo, while powerful, often struggle to fulfill the complex and...
Artificial Intelligence
Structure and Relationships: Graph Neural Networks and a Pytorch Implementation
Let’s implement a regression example where the aim is to coach a network to predict the worth of a node given the worth of all other nodes i.e. each node has a single feature...
Artificial Intelligence
Graph Theory to Harmonize Model Integration
Optimising multi-model collaboration with graph-based orchestrationUsing graph theory has transformed the standard linear approaches to orchestrating AI models by providing a symphony of collaboration between diverse models.Frameworks like Intelli translate your workflow right into...
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