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1. TowardsEvaluatingLossFunctionForUnsupervisedGNNs TowardsEvaluatingLossFunctionForUnsupervisedGNNs Public

   Evaluating loss functions for Unsupervised (self supervised ) graph neural networks: Towards building pretrained GNNS

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2. DeepLearningJavaFromScratch DeepLearningJavaFromScratch Public

   This project is for developing a deep neural networks and its variant from scratch. No external libraries are used except for GPU operations.

   Java 2 1

3. HigherOrderGINMixForDrugRepresentationLearning HigherOrderGINMixForDrugRepresentationLearning Public

4. UnsupervisedPretrainedCrossdomainInductiveNodeRepresentationLearning UnsupervisedPretrainedCrossdomainInductiveNodeRepresentationLearning Public

   This project aims to develope pretrained GNN model which learn parameters in unsupervised settings on a smaller graphs.

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5. DrugDruginteractionPredictionBasedOnGNN DrugDruginteractionPredictionBasedOnGNN Public

   Graph Neural Networks for drug drug interaction prediction

6. SemisupervisedNodeEmbeddingGenerationForDynamicGraph SemisupervisedNodeEmbeddingGenerationForDynamicGraph Public

   In this project we give solutions to semi supervised or unsupervised node embedding generation for dynamic graphs.