Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.
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Updated
Apr 13, 2021 - Python
Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.
OhmNet: Representation learning in multi-layer graphs
A GPU-accelerated generator of a dataset with actors' spreading potentials in multilayer networks under Independent Cascade Model
Code for the paper "Reconstructuring Sparse Multiplex Networks With Application to Covert Networks"
Methods for identifying and ranking users who alternately behave as contributors and as lurkers over multiple layers of a multilayer social network
neural network from scratch
A Graph Optimal Transport Python Package
Image Classification using Deep Neural Networks
Supplemental material for paper "Current challenges in multilayer network engineering": Experiment scripts
First-to-spike decoding in multilayer SNNs.
Pruning tool to identify small subsets of network partitions that are significant from the perspective of stochastic block model inference. This method works for single-layer and multi-layer networks, as well as for restricting focus to a fixed number of communities when desired.
Predicting Anchor Links between Heterogeneous Social Networks (ASONAM 2016)
The original library for analyzing multilayer networks.
Analyze Data with Pandas-based Networks. Documentation:
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