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GitHub topics: dynamic-graph-embedding

SpaceLearner/Awesome-DynamicGraphLearning

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

Language: Shell - Size: 176 KB - Last synced at: 17 days ago - Pushed at: 26 days ago - Stars: 655 - Forks: 86

jhljx/CTGCN

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Language: Python - Size: 25.1 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 96 - Forks: 28

KimMeen/Neural-Temporal-Walks

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

Language: Python - Size: 173 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 53 - Forks: 10

KuroginQin/OpenTLP

[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.

Language: Python - Size: 12.9 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 48 - Forks: 8

CRIPAC-DIG/DGSR

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

Language: Python - Size: 13.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 55 - Forks: 12

cchao0116/EasyDGL

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

Language: Python - Size: 798 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 121 - Forks: 16

houchengbin/GloDyNE

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

Language: Python - Size: 26.7 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 52 - Forks: 17

davidsroth/moviegraph

Experiments in link prediction over dynamic graphs using PyTorch Geometric Temporal and the MovieLens dataset.

Language: Python - Size: 6.84 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Related Keywords
dynamic-graph-embedding 8 graph-neural-networks 5 dynamic-graphs 3 link-prediction 2 dynamic-network-embedding 2 graph-neural-network 2 graph-representation-learning 2 network-embedding 2 dynamic-graph-algorithm 2 graph-embedding 2 sequential-recommendation 2 temporal-link-prediction 1 survey 1 rnns 1 overview 1 nmf 1 inductive-learning 1 weighted-graphs 1 recommender-system 1 time-series 1 traffic-data 1 dynamic-networks 1 time-evolving-networks 1 recommender-systems 1 gnns 1 dynamic-link-prediction 1 attention 1 temporal-graph-networks 1 node-classification 1 graph-embedding-approaches 1 graph-convolutional-network 1 graph-centrality-prediction 1 edge-classification 1 dynamic-graph-processing 1 temporal-network 1 temporal-graph 1 deep-learning 1