Benchmark datasets, data loaders, and evaluators for graph machine learning

Bag of Tricks for Graph Neural Networks.

Code implementation for the paper ``Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks''.

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

openEMS is a free and open-source electromagnetic field solver using the EC-FDTD method.

A playbook for systematically maximizing the performance of deep learning models.

Paper list for equivariant neural network

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)

Simple yet SoTA Knowledge Graph Embeddings.

Conv nets applied to OSM maps for path loss prediction

GNN-RE datasets for circuit recognition

Deep Reinforcement Learning for mmWave RF Beam Codebook Design

This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!

Hyperbolic Embeddings

PyLayers is a Python platform for Site Specific Radio Propagation Simulation. This is modified version of pylayers with functionallity

Scrape information about places from Google Maps. Gives you extra information that you can't get using the Google Places API.

Training neural models with structured signals.

Predictive algorithm to perform Vertical Call Handover decisions in a 5g network using mobile user caller history logs

Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)

CogDL: An Extensive Research Toolkit for Graphs

An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.