Pinned Repositories
awesome-efficient-gnn
Efficient Graph Neural Networks - a curated list of papers and projects
BNNetSimulator
BNNetSimulator is a packet-level network simulator to generate datasets for research and analysis.
ceons
Complex Elastic Optical Networks Simulator (CEONS)
datanetAPI
DeepRMSA
For more details, see paper: DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks
demo-routenet
Demo of RouteNet in ACM SIGCOMM'19
DGN
Pytorch implementation of differentiable group normalization (NeurIPS 2020)
DL-Traff-Graph
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)
DTCR
The paper "Learning Representations for Time Series Clustering"
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
alexeiga's Repositories
alexeiga/awesome-efficient-gnn
Efficient Graph Neural Networks - a curated list of papers and projects
alexeiga/BNNetSimulator
BNNetSimulator is a packet-level network simulator to generate datasets for research and analysis.
alexeiga/ceons
Complex Elastic Optical Networks Simulator (CEONS)
alexeiga/datanetAPI
alexeiga/demo-routenet
Demo of RouteNet in ACM SIGCOMM'19
alexeiga/DL-Traff-Graph
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)
alexeiga/DTCR
The paper "Learning Representations for Time Series Clustering"
alexeiga/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
alexeiga/gcn
Implementation of Graph Convolutional Networks in TensorFlow
alexeiga/GCNP
alexeiga/GMAN
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
alexeiga/GNNetworkingChallenge
RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)
alexeiga/GNNPapers
Must-read papers on graph neural networks (GNN)
alexeiga/GNNPapersCommNets
alexeiga/graph-pooling-papers
Papers on Graph Pooling (GNN-Pooling)
alexeiga/Graph-WaveNet
graph wavenet
alexeiga/HGCN
alexeiga/ITU-ML5G-PS-001-PARANA
alexeiga/keras
Deep Learning for humans
alexeiga/Literatures-on-GNN-Acceleration
A reading list for deep graph learning acceleration.
alexeiga/ML-YouTube-Courses
📺 A place to discover the latest machine learning courses on YouTube.
alexeiga/neural_tree
alexeiga/oopt-gnpy
Optical Route Planning Library, Based on a Gaussian Noise Model
alexeiga/PnC
Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
alexeiga/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
alexeiga/RHO-Loss
alexeiga/sparsemax
:boom: A PyTorch Implementation of the Sparsemax operator (https://arxiv.org/pdf/1803.09820.pdf)
alexeiga/SRC
Code for "Understanding Pooling in Graph Neural Networks"
alexeiga/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
alexeiga/U-GCN
Source code of "NeurIPS21 - Universal Graph Convolutional Networks"