khushnood

I am in love with temporal networks. I think we can build an oracle with temporal networks. :P

Zhoukou Normal UniversityHenan China

Pinned Repositories

DataDrivenDrugDiscovery
2 2 10
deep-learning-notes
Notes from the DeepLearning.AI courses
Language:Jupyter Notebook1 2 00
DeepLearningJavaFromScratch
This project is for developing a deep neural networks and its variant from scratch. No external libraries are used except for GPU operations.
Language:Java2 2 01
GNNs-for-NLP
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Language:Python0 1 00
NetevolutionVisualization
This R project is for visualizing time evolving network. Any one finds any mistack can update the code.
Language:R1 2 00
Phd
This project is realted to my phd algorithms
Language:R2 2 00
SemisupervisedNodeEmbeddingGenerationForDynamicGraph
In this project we give solutions to semi supervised or unsupervised node embedding generation for dynamic graphs.
0 2 00
TempNodeEmbed_upload
0 2 00
UnsupervisedInductiveNodeRepresentationForDynamicGraphs
In this project we have given framework for unsupervised learning for dynamic graphs as well as generating node embedding inductively for other snapshots of the graphs.
0 1 00

khushnood/DataDrivenDrugDiscovery
2 2 10
khushnood/DeepLearningJavaFromScratch
This project is for developing a deep neural networks and its variant from scratch. No external libraries are used except for GPU operations.
Language:Java2 2 01
khushnood/Phd
This project is realted to my phd algorithms
Language:R2 2 00
khushnood/deep-learning-notes
Notes from the DeepLearning.AI courses
Language:Jupyter Notebook1 2 00
khushnood/NetevolutionVisualization
This R project is for visualizing time evolving network. Any one finds any mistack can update the code.
Language:R1 2 00
khushnood/GNNs-for-NLP
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Language:Python0 1 00
khushnood/SemisupervisedNodeEmbeddingGenerationForDynamicGraph
In this project we give solutions to semi supervised or unsupervised node embedding generation for dynamic graphs.
0 2 00
khushnood/TempNodeEmbed_upload
0 2 00
khushnood/UnsupervisedInductiveNodeRepresentationForDynamicGraphs
In this project we have given framework for unsupervised learning for dynamic graphs as well as generating node embedding inductively for other snapshots of the graphs.
0 1 00
khushnood/UnsupervisedPretrainedCrossdomainInductiveNodeRepresentationLearning
This project aims to develope pretrained GNN model which learn parameters in unsupervised settings on a smaller graphs.
1 0