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
The code accompanies the paper "On Atomic Cliques in Temporal Graphs".
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
A dynamic data structure for reachability queries for temporal graphs
Graph Attention Recurrent Neural Network for Bilateral Trade Prediction and Adjacency Matrix Sampling
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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 collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
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.
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
🌟 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".
Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection
Dynamic Graph Echo State Networks
Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"
A prototype implementation of stream_graphs:
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