Louvain Algorithm
Community detection is one of the most important problems in network science: given a graph, how do we find groups of nodes that are more densely connected to each other…
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Machine Learning
18 posts
Label Propagation Algorithm
What is Label Propagation Algorithm? Label Propagation Algorithm (LPA or LAP) is a simple, fast, and intuitive semi-supervised (and unsupervised) graph-based method for community detection and label inference on graphs.…
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Gradient Boosting Algorithm
Gradient Boosting is one of those rare ideas in machine learning that’s both simple at its core and remarkably powerful in practice. From credit scoring and click-through prediction to anomaly…
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Girvan–Newman Algorithm
What is the Girvan–Newman Algorithm? The Girvan–Newman (GN) algorithm is a classic community detection method for networks (graphs). It identifies clusters (communities) by iteratively removing edges that act as “bridges”…
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Top 10 Research Areas in Natural Language Processing (NLP)
Natural Language Processing (NLP) is one of the most dynamic fields in artificial intelligence, driving breakthroughs in communication between humans and machines. This blog explores the Top 10 Research Areas…
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Elephant Herding Optimization (EHO) Algorithm
What Is the Elephant Herding Optimization (EHO) Algorithm? Elephant Herding Optimization (EHO) is a population-based metaheuristic inspired by the social behavior of elephant herds. In nature, elephants live in clans…
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Bio Inspired Algorithms
Introduction In the ever-evolving landscape of computational intelligence, bio-inspired algorithms stand out as a testament to humanity’s ingenuity in borrowing from nature’s playbook. These algorithms draw inspiration from biological processes,…
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Introduction to Machine Learning: What Is It and Why Does It Matter?
Without explicit programming, robots may learn from data and perform better thanks to the quickly developing discipline of machine learning (ML). An introduction to machine learning is given in this…
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