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Dec 30, 2021 - C++
#
random-walk
Here are 245 public repositories matching this topic...
A distributed graph deep learning framework.
deep-learning
graph
network-embedding
random-walk
graph-convolutional-networks
gcn
node2vec
graph-embedding
graph-learning
graphsage
graph-neural-networks
ggnn
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
machine-learning
deep-learning
graph
graph-algorithms
network-science
networkx
sampling
network-embedding
random-walk
metropolis-hastings
minimum-spanning-tree
graph-embedding
forest-fire
graph-sampling
network-analytics
node-embedding
graph-sparsification
community-structure
network-sampling
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Jan 22, 2022 - Python
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
python
sample
data-mining
big-data
network
graphs
network-science
networkx
sampling
network-analysis
social-network-analysis
breadth-first-search
induction
random-walk
subgraph
big-data-analytics
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Dec 4, 2020 - Python
Robot path planning, mapping and exploration algorithms
rrt
path-planning
random-walk
apf
coverage-path-planning
exploration-method
multi-robot-path-planning
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May 1, 2022 - Jupyter Notebook
A general-purpose, distributed graph random walk engine.
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Jan 22, 2022 - C++
Applied Probability Theory for Everyone
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Jul 9, 2021 - Jupyter Notebook
Website built using React Framework for visualizing Pathfinding and Maze Generation Algorithms.
react
javascript
algorithms
astar
maze
pathfinding
visualizer
dijkstra
bidirectional
breadth-first-search
depth-first-search
random-walk
recursive-division
greedy-best-first-search
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Jan 25, 2021 - JavaScript
Papers on Graph Analytics, Mining, and Learning
graph
graph-algorithms
parallel-computing
graph-theory
graph-databases
graph-analytics
graph-mining
graph-partitioning
graph-machine-learning
random-walk
graph-clustering
graph-pattern-matching
graph-sampling
graph-neural-networks
graph-coarsening
graph-pattern-mining
hardware-accelerators
graph-querying
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May 1, 2022
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
community-detection
diffusion-maps
message-passing
random-walk
link-prediction
graph-kernels
graph-embedding
graph-classification
node-classification
graph-neural-networks
rare-category-detection
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Sep 30, 2019
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
transformer
random-walk
graph-embeddings
node-classification
self-attention
graph-neural-networks
pytorch-implementation
unsupervised-node-embedding
node-embeddings
inductive-node-embeddings
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Jun 10, 2021 - Python
Open
Read `.xml` models
3
hariszaf
commented
Oct 1, 2021
To address the challenges that come along with the metabolic network reconstruction process,
the metabolic modeling community has adopted the Systems Biology Markup Language (SBML)
to a great extent.
Therefore, most metabolic models are in a .xml format and this is the reason that supporting
this format would benefit dingo the most.
To this end, dingo could make use of the [`li
Open
Read `.mat` models
2
A python package for constructing and analysing minimum spanning trees.
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Nov 21, 2021 - Python
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
natural-language-processing
sentiment-analysis
pytorch
random-walk
absa
aspect-based-sentiment-analysis
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Apr 25, 2021 - Python
Outlier detection for categorical data
graph-algorithms
outlier-detection
random-walk
conditional-probability
anomaly-detection
categorical-data
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Sep 19, 2020 - Python
Random walk to calculate the tortuosity tensor of images
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Dec 8, 2020 - Python
For shallow-water Lagrangian particle routing.
simulator
particles
particle
tracer
random-walk
numerical-modelling
particle-tracking
hydrodynamic-modeling
rivers
numerical-modeling
lagrangian
particle-transport
particle-tracing
particle-routing
passive-tracers
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May 2, 2022 - Python
markov-model
simulation
markov-chain
kinetic-monte-carlo
markov-chains
stochastic-processes
stochastic-simulation-algorithm
markov-process
random-walk
ctmc
enhanced-sampling
stochastic-simulation
dtmc
network-dynamics
rare-events
k-shortest-paths
markovian-dynamics
continuous-time-markov-chain
simulation-algorithms
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Jul 29, 2021 - C++
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
machine-learning
reinforcement-learning
q-learning
dqn
sarsa
dynamic-programming
random-walk
td-learning
monte-carlo-methods
double-dqn
prioritized-experience-replay
sutton-gambler
experience-replay
q-learning-vs-sarsa
sutton-gridworld
dqn-pytorch
model-free-rl
david-silver-course
n-step-bootstrapping
n-step-sarsa
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May 3, 2020 - Jupyter Notebook
New Algorithms for Learning on Hypergraphs
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Feb 20, 2022 - Jupyter Notebook
Spring 2018 Monte Carlo project at ENSAE: simulation of self-avoiding random walks
simulation
monte-carlo
jupyter-notebook
monte-carlo-simulation
mcmc
random-walk
self-avoiding-random-walk
ensae
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Jun 9, 2018 - Jupyter Notebook
A Broader Picture of Random-walk Based Graph Embedding
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Jul 20, 2021 - Python
Different Implementations of 2D Procedural Maps
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Aug 22, 2017 - C++
Personalized PageRank (PPR) on GraphLab PowerGraph
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Jan 3, 2017 - C++
This example implements the paper in review [Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture]
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May 15, 2021 - Python
An implementation of the absorbing random-walk centrality
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Feb 2, 2016 - Python
Projects are developed for implementing the knowledge gained in the courses studied at World Quant University and meeting the requirement of clearing the courses.
python
machine-learning
r
statistics
econometrics
stochastic
derivatives
monte-carlo-simulation
option-pricing
stochastic-processes
random-walk
value-at-risk
risk-management
macroeconomics
financial-engineering
blackscholes
portfolio-management
fourier-pricing-technique
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Mar 23, 2020 - Jupyter Notebook
Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.
epidemiology
lattice
disease-spread
random-walk
stochastic-models
sir-model
epidemiology-analysis
epidemic-simulations
coronavirus
coronavirus-analysis
covid-19
sars-cov-2
covid-19-india
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Jun 20, 2021 - Jupyter Notebook
Graph clustering and Node embeddings with word2vec
nlp
crawler
clustering
word2vec
word-embeddings
bachelor-thesis
random-walk
graph-clustering
text-clustering
graph-embedding
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Mar 2, 2019 - Python
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Is your feature request related to a problem? Please describe.
Even after the useful PR GeomScale/volesti#190 some examples are still failing to compile.
Describe the solution you'd like
Some have an easy fix e.g.
vpolytope-volumewhile some other e.g.EnvelopeProblemSOSneed some work to fix the cmake (at least in myUbuntu 20.04withgccversion `9.3