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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 about a month 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
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
dynamic-graphs
graph-embedding
link-prediction
network-embedding
edge-classification
node-classification
graph-neural-network
graph-neural-networks
dynamic-graph-algorithm
dynamic-graph-embedding
temporal-graph-networks
dynamic-graph-processing
graph-embedding-approaches
graph-centrality-prediction
graph-convolutional-network
graph-representation-learning
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
[TKDE 2022] The source code of "Dynamic Graph Neural Networks for Sequential Recommendation"
Created
2022-03-29
12 commits to master branch, last one 7 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 2 years ago
[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
22 commits to main branch, last one 23 days ago