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#

dynamic-network-embedding

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Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

  • UpdatedJun 4, 2025
  • Shell

GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020)https://ieeexplore.ieee.org/document/9302718

  • UpdatedOct 3, 2021
  • Python

Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.

  • UpdatedOct 22, 2023

Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"

  • UpdatedDec 11, 2020
  • Jupyter Notebook

Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"

  • UpdatedDec 27, 2021
  • Python

SG-EDNE: Skip-Gram based Ensembles Dynamic Network Embedding (for our paper "Robust Dynamic Network Embedding via Ensembles")

  • UpdatedOct 4, 2021
  • Python

[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

  • UpdatedNov 3, 2023
  • Python

Codebase for simulating and estimating the Attractor-Based Coevolving Dot Product Random Graph Model (ABCDPRGM), a dynamic network model for analyzing polarization and flocking in graph data. Includes synthetic experiments and real-data analysis using Age of Empires IV ranked match data.

  • UpdatedApr 22, 2025
  • Jupyter Notebook

DANTE is a software tool for pairwise alignment of dynamic networks. It computes the topological node similarities via temporal embedding.

  • UpdatedAug 1, 2023

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