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#

dynamic-graph-embedding

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

  • UpdatedJun 4, 2025
  • Shell

Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"

  • UpdatedMar 25, 2024
  • Python

[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"

  • UpdatedAug 3, 2024
  • Python

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

[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.

  • UpdatedNov 10, 2024
  • Python

[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"

  • UpdatedNov 23, 2022
  • Python

Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"

  • UpdatedApr 25, 2024
  • Python

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