DAGGER: Reachability Index for Dynamic Graphs
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Updated
May 27, 2015 - C++
DAGGER: Reachability Index for Dynamic Graphs
Repository for my applied mathematician master thesis
ARROW: Approximating Reachability using Random walks Over Web scale graphs
Benchmark Generator for Dynamic Overlapping Communities
Variational Graph Recurrent Neural Networks - PyTorch
Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior (EuroVis2020)
Pixel-Based Visual Analysis of Dynamic Graphs (VDS 2020 at IEEE VIS20)
This repository contains a our work about the "How to Explore a Fast-Changing World" paper, where we cover the simple random walk on directed graphs and undirected graphs and the lazy random walk on dynamic graphs. In terms of the cover time.
This repository contains a our work about the "Real-time Constrained Cycle Detection in Large Dynamic Graphs" paper, which present a GraphS system to efficiently detect constrained cycles in a dynamic graph, which is changing constantly, and return the satisfying cycles in real-time.
Code for "Graph Neural Networks for Friend Ranking in Large-scale Social Platforms" (WWW 2021).
dynamic graphs from asynchronous nodes
Straph is a Python package for the modelisation, analysis and visualisation of Stream Graphs (https://arxiv.org/abs/1710.04073).
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
Simple C++ library for dynamic graph layout.
Representation and learning framework for dynamic graphs using Graph Neural Networks.
Dynamic Graph Echo State Networks
Given a temporal network, performs Temporal Random Walk using different sampling strategies.
Visual Analysis of Temporal Summaries in Dynamic Graphs (IEEE TVCG)
Source code of "RapidFlow: An Efficient Approach to Continuous Subgraph Matching" published in VLDB'2022 - By Shixuan Sun, Xibo Sun, Bingsheng He and Qiong Luo
dynnode2vec is a python package that implements algorithms to embed dynamic graphs
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