navid-naderi
Assistant Research Professor of Biostatistics & Bioinformatics at Duke University (Previously @ UPenn, HRL, Intel, USC, Cornell, Sharif)
Duke University
Pinned Repositories
ConPLex
Adapting protein language models and contrastive learning for highly-accurate drug-target interaction prediction.
ContrastiveSSL_WirelessPowerControl
Self-supervised contrastive representation learning for downlink power control in wireless interference networks (IEEE ICASSP 2021)
GraphMIX
Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
LinkSchedulingGNNs_SupervisionStudy
A comparative study of different supervision levels (supervised/unsupervised/self-supervised) when training graph neural network models for link scheduling in wireless networks.
PLM_SWE
Implementation code for the paper "Aggregating Residue-Level Protein Language Model Embeddings with Optimal Transport"
PSWE
Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Resilient_RRM_GNN
Implementation code for the paper "Learning Resilient Radio Resource Management Policies with Graph Neural Networks" (IEEE Transactions on Signal Processing)
StateAugmented_RRM_GNN
Implementation code for the IEEE TSP paper "State-Augmented Learnable Algorithms for Resource Management in Wireless Networks."
WEGL
The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
navid-naderi's Repositories
navid-naderi/WEGL
The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
navid-naderi/GraphMIX
Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
navid-naderi/Resilient_RRM_GNN
Implementation code for the paper "Learning Resilient Radio Resource Management Policies with Graph Neural Networks" (IEEE Transactions on Signal Processing)
navid-naderi/PLM_SWE
Implementation code for the paper "Aggregating Residue-Level Protein Language Model Embeddings with Optimal Transport"
navid-naderi/StateAugmented_RRM_GNN
Implementation code for the IEEE TSP paper "State-Augmented Learnable Algorithms for Resource Management in Wireless Networks."
navid-naderi/PSWE
Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)
navid-naderi/LinkSchedulingGNNs_SupervisionStudy
A comparative study of different supervision levels (supervised/unsupervised/self-supervised) when training graph neural network models for link scheduling in wireless networks.
navid-naderi/ContrastiveSSL_WirelessPowerControl
Self-supervised contrastive representation learning for downlink power control in wireless interference networks (IEEE ICASSP 2021)
navid-naderi/ConPLex
Adapting protein language models and contrastive learning for highly-accurate drug-target interaction prediction.
navid-naderi/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch