What is SETSe?
SETSe stands for "Simulated Elasticity and Tangential Forces based Spectral Embedding", and it is a deterministic physics-based graph embedding algorithm. It embeds weighted feature-rich networks, allowing for the creation of high-quality visualizations of complex data structures. The algorithm is particularly useful for clustering and labeling data points to help reveal underlying structures and patterns.
How does it work?
The SETSe algorithm treats each edge in a network as
TransE is a model used for producing knowledge base embeddings. In simpler terms, knowledge base embeddings can be thought of as a way to represent knowledge in a machine-readable format. TransE models relationships between entities, or things that exist, by interpreting them as translations in a low-dimensional space.
Energy-Based Model
TransE is an energy-based model. This means that it uses energy to measure how well the model is doing at representing the relationships between entities. Th
TuckER-RP: A Powerful Machine Learning Model for Relation Prediction
TuckER-RP is a machine learning model that is designed to predict relationships between entities. It is an improved version of the TuckER model, which was developed by researchers at Tsinghua University in China. TuckER is a tensor factorization-based model that is highly effective in modeling complex relationships between entities. In TuckER-RP, researchers have introduced a relation prediction objective on top of the 1vsAll
TuckER is an innovative and state-of-the-art algorithm that is used to perform knowledge graph completion. The algorithm was introduced during the International Conference on Learning Representations in 2019, and has since become a popular topic within the field of artificial intelligence.
What is TuckER?
Knowledge graph completion refers to the process of predicting or inferring missing information in a knowledge graph, which is essentially a network of interconnected entities and relationsh
VERSE, which stands for VERtex Similarity Embeddings, is a method that creates graph embeddings. These embeddings are specially designed to preserve the distribution of a chosen vertex-to-vertex similarity measure. VERSE uses a single-layer neural network to teach itself how to create these embeddings.
What are graph embeddings?
Graph embeddings are a way of representing a graph in a format that can be processed more efficiently by a computer. They can be thought of as a way of encoding the n
WEGL Radio
Overview
WEGL is a student-run radio station at Auburn University in Auburn, Alabama. Founded in 1969, WEGL has been serving the Auburn community for over 50 years. WEGL is known for its diverse range of programming and its commitment to promoting local music.
History
WEGL was founded in 1969 by a group of Auburn students who were interested in starting a radio station that would serve the campus and the surrounding community. The station began broadcasting on September 1, 1970,