/urbs-time-varying-graph

Time Varying Graph Database

MASTER THESIS - Time Varying Graphs

References

COMPLEX NETWORKS

➤ BOOKS

NETWORK SCIENCE BOOK ➢ by Albert-László Barabási, is an introductory ebook. [SOCIAL NETWORK ANALYSIS - METHODS AND APPLICATIONS] ➢ Stanley Wasserman and Katherine Faust.

➤ WEBSITES COMPLEXITY EXPLORER SANTA FE INSTITUTE ➢ Offers online courses.
NEW ENGLAND COMPLEX SYSTEMS INSTITUTE ➢ provides various resources and papers.
GOING UNDERGROUND: GRAPHING AND PATHFINDING LONDON TUBE LINES ➢ Describes how to use Neo4j on Public Tranportation
THE SEVEN BRIDGES OF KÖNISBERG: A DOG'S EYE VIEW ➢ Describes how to use Neo4j on pathfinding
D7.2: GES3 Data Integration ➢ Document about URBS data integration
Coalescing Networks for Performant Graph Analysis ➢ Explain how to use python and GTFS for creating network transit graphs
Identifying urban zones with spectral clustering Graphs Across Domains: Berkeley GraphXD

➤ PAPERS

Systemic delay propagation in the US airport network
Hierarchical structure and the prediction of missing links in networks Open Graph Benchmark:Datasets for Machine Learning on Graphs T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

Graph Metrics for Temporal Networks Applications of Temporal Graph Metrics to Real-World Networks

Time-Varying Graphs and Social Network Analysis: Temporal Indicators and Metrics

➤ MISCELLANEOUS

https://towardsdatascience.com/temporal-graph-networks-ab8f327f2efe

https://medium.com/neo4j/visualizing-shortest-paths-with-neomap-0-4-0-and-the-neo4j-graph-data-science-plugin-18db92f680de https://www.stellargraph.io/ https://networkx.github.io/

https://www.data-to-viz.com

https://ludwig-ai.github.io/ludwig-docs/getting_started/ https://pycaret.org/tutorial/ https://eng.uber.com/urban-computing-foundation/ https://uc.foundation/ https://medium.com/vis-gl/pydeck-unlocking-deck-gl-for-use-in-python-ce891532f986 https://residentmario.github.io/geoplot/ https://kepler.gl/demo/nyctrips https://guides.neo4j.com/got https://towardsdatascience.com/data-scientists-the-five-graph-algorithms-that-you-should-know-30f454fa5513

https://github.com/uber/h3-py

https://pythonot.github.io/

https://guides.neo4j.com/sandbox/graph-algorithms/

https://pytorch-geometric.readthedocs.io/en/latest/#

DEEP GRAPH LIBRARY : Easy Deep Learning on Graphs

Open Graph Benchmark (OGB)

➤ ARCHITECTURE

https://github.com/thampiman/reverse-geocoder

https://dillinger.io/