An approach to temporal graphs in functional programming
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Updated
Jul 13, 2020 - Haskell
An approach to temporal graphs in functional programming
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
cloud-based, large-scale ST-GCN with OpenStreetMap features
Library of Compact Data Structures to test different implementations of Compact Temporal Graphs using several levels of compactness
Each script and notebook in the repository is well-documented, with extensive logging for transparency and reproducibility. The repository is designed for researchers, data scientists, and conservationists interested in applying data-driven methods to marine ecology and species management.
The code accompanies the paper "On Atomic Cliques in Temporal Graphs".
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The study delves into the dynamics of human communication within various social settings, from intimate groups to global online platforms, focusing on the reciprocal exchange of information as a cornerstone for social stability, cohesion, and cooperation.
A dynamic data structure for reachability queries for temporal graphs
ARROW: Approximating Reachability using Random walks Over Web scale graphs
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
Graph Attention Recurrent Neural Network for Bilateral Trade Prediction and Adjacency Matrix Sampling
[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
Segundo trabalho prático da disciplina de Algoritmos I
🌟 Vertex Centric approach for building GNN/TGNNs
A Temporal Networks Library written in Python
Code of the paper "Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs".
Data Quality: Company X' Insights
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