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Areas Served: Automatic Knowledge Graphs: The Impossible Grail
Author(s): Patrick Meyer Originally published on Towards AI. As promised by many analysts, the automatic creation of knowledge graphs should have allowed us to reach the Holy Grail of knowledge access. Information extraction techniques have evolved significantly over the last few years, …
Machine Learning in a Non-Euclidean Space
Author(s): Mastafa Foufa Originally published on Towards AI. Chapter II. How to get an intuition about hyperbolic geometry and when to use it in your Data Science projects? Photo by Mae Mu on Unsplash 1. There are different examples of non-Euclidean geometry, …
Real-Time Data Linkage via Linked Data Event Streams
Author(s): Samuel Van Ackere Originally published on Towards AI. Seamless and efficient interlinking of a data stream across various domains and applications Photo by Toa Heftiba on Unsplash Real-time interchanging data across domains and applications is challenging; data format incompatibility, latency and …
Clustering using Social Graph Network
Author(s): Naveed Ahmed Janvekar Originally published on Towards AI. Data Science A Social Graph Network can be formed when there are a set of connections between entities (nodes — such as people or organizations) and interactions (edges — such as friendship, contracts) …
Understanding Social Networks
Author(s): Naveed Ahmed Janvekar Originally published on Towards AI. Data Analysis Understanding Social Networks A Social Network is formed when there are a set of connections between entities (such as people or organizations) and interactions (such as friendship, contracts) between them. In …
From MAML to MAML++
Author(s): Edward Ma Originally published on Towards AI. Training Instability: Photo by Edward Ma on Unsplash Imagine that you only see dog a few times, human beings are able to recognize a new concept or idea and recognizing dog later on. Meta-Learning …
Knowledge Graph Embeddings
Author(s): Edward Ma Originally published on Towards AI. Photo by chuttersnap on Unsplash In the previous stories, we introduced Introduction to Graph Embeddings, Random Walk in Node Embeddings, 4 Graph Neural Networks, and When GraphSAGE meets Pinterest. In this article, I introduce …
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