Modeling complex networks: An implementation based on Python+NetworkX
Framework for building complex recurrent neural networks with Keras
Implementation related to the paper "Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications" by Elizabeth K. Cole et. al; Toolbox for compl...
#计算机科学#A simple library for creating complex neural networks
A high-level toolbox for using complex valued neural networks in PyTorch
Simulate complex networks with different models(small world, scale-free, random), and compare the robustness (under random failures) of them.
Learning to query complex networks
A tool to visualize complex networks in LaTeX
Unified Complex Network and Recurrence Analysis Toolbox
Network Science, Complex Networks
Complex-valued Convolutional Neural Networks
Uncertainty and causal emergence in complex networks
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
[Not Official] Implementation Deep Comple Networks and Plug-in module (e.g. Neural Preprocessing Layer, ICLR 2018)
CompleX Group Interactions (XGI) is a Python package for higher-order networks.
#计算机科学#Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
Complex Analysis: A Visual and Interactive Introduction
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028