GitHub topics: attributed-graphs
pbielak/gerf
Official implementation of the Graph Embedding RetroFitting (GERF) method
Language: Python - Size: 501 KB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

fan2goa1/MaximumFairClique
The code implementation of Efficient Maximum Fair Clique Search over Large Networks.
Language: C++ - Size: 119 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

CompNet/Pang
Pattern Mining for the Classification of Public Procurement Fraud
Language: Python - Size: 239 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

csjtx1021/Scalable-and-Parallel-DGBO
This code is implemented according to paper "Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs", accepted by TNNLS. (Python2/TensorFlow)
Language: Python - Size: 9.29 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

csjtx1021/DGBO
This code is implemented according to paper "Deep Bayesian Optimization on Attributed Graphs", published on AAAI2019. (Python2/TensorFlow)
Language: Python - Size: 1.55 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

zeno129/DYANE
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
Language: Python - Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

zakimjz/SCPM
SCPM algorithm for structural correlation pattern mining
Language: C++ - Size: 94.7 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 2

MIND-Lab/DAGE
Deep Attributed Graph Embedding
Language: Python - Size: 728 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

gabecarra/GraphPipe
Bachelor project - USI Informatics 2020
Language: Python - Size: 80.3 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
