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GCNRW-Graph-Convolutional-Network-With-Random-Weights-
GCNRW-Graph-Convolutional-Network-With-Random-Weights- PublicHere is an implementation of Title: "Are Graph Convolutional Networks With Random Weights Feasible?" Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence Year: 2022
Jupyter Notebook 4
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Implementation-for-the-paper-of-SEMI-SUPERVISED-CLASSIFICATION-WITH-GRAPH-CONVOLUTIONAL-NETWORKS
Implementation-for-the-paper-of-SEMI-SUPERVISED-CLASSIFICATION-WITH-GRAPH-CONVOLUTIONAL-NETWORKS PublicThis ia a simple implementation of SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS on three datasets(Cora, PubMed and Citeseer) and inspecting changing the first layer activation f…
Jupyter Notebook 2
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Neural-Network-Homework
Neural-Network-Homework PublicHere is my university Neural Network course homework containing implementing perceptron and convolutional networks from scratch and experimenting using different activation, loss function, ... on t…
Jupyter Notebook 1
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translate-english-subtitles-to-persian-
translate-english-subtitles-to-persian- PublicThis python code gets the English subtitle file (.srt) and provide Persian subtitle file (.srt)
Jupyter Notebook 2
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