8 results found Sort:

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Created 2021-07-12
147 commits to main branch, last one 14 days ago
Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"
Created 2022-12-18
3 commits to main branch, last one about a year ago
28
95
mit
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CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Created 2020-01-17
101 commits to master branch, last one about a year ago
GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9302718
Created 2019-01-13
56 commits to master branch, last one 3 years ago
14
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unknown
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[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
Created 2022-03-29
12 commits to master branch, last one 6 months ago
Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
Created 2019-07-01
10 commits to main branch, last one about a year ago
[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
Created 2022-09-18
5 commits to main branch, last one about a year ago
8
48
unknown
3
[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...
Created 2022-06-21
20 commits to main branch, last one 10 months ago