Navid NaderiAlizadeh

GraphMIX. Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning

WEGL. The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).

Resilient_RRM_GNN. Implementation code for the paper "Learning Resilient Radio Resource Management Policies with Graph Neural Networks" (IEEE Transactions on Signal Processing)

PLM_SWE. Implementation code for the paper "Aggregating Residue-Level Protein Language Model Embeddings with Optimal Transport"

StateAugmented_RRM_GNN. Implementation code for the IEEE TSP paper "State-Augmented Learnable Algorithms for Resource Management in Wireless Networks."

PSWE. Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)

ContrastiveSSL_WirelessPowerControl. Self-supervised contrastive representation learning for downlink power control in wireless interference networks (IEEE ICASSP 2021)

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.

EvoPool. Implementation Code of EvoPool

PLMNovo. Implementation Code of PLMNovo