i-DGCN

Implementation for i -DGCN: A Spectral Convolutional Network For Directed Graphs Using An Intensity Laplacian

Project: Asymmetric Dictionary Learning AsyDiL: PCE project PN-III-P4-PCE-2021- 0154 https://asydil.upb.ro/

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
processed		processed
raw		raw
tmp		tmp
.DS_Store		.DS_Store
LICENSE		LICENSE
README.md		README.md
anomaly.py		anomaly.py
antiparallel.py		antiparallel.py
flipping.py		flipping.py
graph_to_egonet_features.py		graph_to_egonet_features.py
idgcn_link.py		idgcn_link.py
magnet_link.py		magnet_link.py
run_MagNet_Anomaly.py		run_MagNet_Anomaly.py
run_MagNet_LinkPrediction.py		run_MagNet_LinkPrediction.py
run_SigMaNet_Anomaly.py		run_SigMaNet_Anomaly.py
run_SigMaNet_LinkPrediction.py		run_SigMaNet_LinkPrediction.py
run_SymGCN_Anomaly.py		run_SymGCN_Anomaly.py
run_SymGCN_LinkPrediction.py		run_SymGCN_LinkPrediction.py
run_iDGCN_Anomaly.py		run_iDGCN_Anomaly.py
run_iDGCN_LinkPrediction.py		run_iDGCN_LinkPrediction.py
sigmanet_link.py		sigmanet_link.py
utils.py		utils.py

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