InTDS ArchivebyKristof NeysFire up your Centrality Metric engines: Neo4j vs NetworkX — a drag race, of sorts…In this article, Mark Needham and I hold a drag-race between the Python NetworkX package and the Neo4j Graph Data Science library. In this…Nov 6, 2020Nov 6, 2020
Ben AlexanderImplement Your Own Music Recommender with Graph Neural Networks (LightGCN)By Ben Alexander, Jean-Peic Chou, and Aman Bansal for Stanford CS224W.Dec 30, 2021Dec 30, 2021
InTDS ArchivebyTomaz BratanicIntegrate Neo4j with PyTorch Geometric to create recommendationsLeverage the power of PyTorch Geometric to develop and train custom Graph Neural Networks for your applicationJan 19, 20224Jan 19, 20224
Tigran KhachatryanWolt Delivery Network AnalysisCoronavirus pandemic had a substantial influence on urban mobility throughout the world. Telecommunication affected fundamental…Feb 14, 20221Feb 14, 20221
Prateek JoshiKnowledge Graph — A Powerful Data Science Technique to Mine Information from Text (with Python…Learn how to build a knowledge graph using text from Wikipedia dataOct 14, 20199Oct 14, 20199
InTDS ArchivebyDiogo A.P. NunesStructuring Text with Graph RepresentationsHow to represent free-text with a graph, making its structure explicit and easily manageable by downstream algorithms.Oct 11, 20214Oct 11, 20214
InTDS ArchivebyDiogo A.P. NunesKeyphrase Extraction with Graph CentralityTaking advantage of graph representations to extract relevant phrases from free-textOct 19, 20211Oct 19, 20211
InTDS ArchivebyTomaz BratanicIntroducing the Neo4j Graph Data Science plugin with examples from the “Graph Algorithms…In the past couple of years, the field of data science has gained much traction. It has become an essential part of business and academic…Feb 20, 20201Feb 20, 20201