Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
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Feb 6, 2024 - Python
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Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
For shallow-water Lagrangian particle routing.
A python library for metabolic networks sampling and analysis
A python package for constructing and analysing minimum spanning trees.
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Official Pytorch implementation of NeuralWalker
A Broader Picture of Random-walk Based Graph Embedding
Random walk to calculate the tortuosity tensor of images
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
Outlier detection for categorical data
Fractal images with Python
A Python implementation and visualization of various pathfinding and graph search algorithms.
This example implements the paper in review [Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture]
Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
Efficient zero-human-knowledge NN-based solver for NxNxN Rubik's cubes and general Cayley graphs
The official code implementation for DREAMwalk in Python.
Graph clustering and Node embeddings with word2vec
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