Search Results for author:
Found 4 papers, 2 papers with code
Friendship is All we Need: A Multi-graph Embedding Approach for Modeling Customer Behavior
Understanding customer behavior is fundamental for many use-cases in industry, especially in accelerated growth areas such as fin-tech and e-commerce.
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding
Once representations for drugs and diseases are obtained we learn the likelihood of new links (that is, new indications) between drugs and diseases.
Semantic Sensitive TF-IDF to Determine Word Relevance in Documents
Keyword extraction has received an increasing attention as an important research topic which can lead to have advancements in diverse applications such as document context categorization, text indexing and document classification.
Can NetGAN be improved on short random walks?
Graphs are useful structures that can model several important real-world problems.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
