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18 public repositories
matching this topic...
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
May 31, 2020
Python
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Updated
Jul 18, 2019
Python
A C++ library and utilities for manipulating the Graphical Fragment Assembly format.
MXNet implementation of Graph Convolutional Neural Networks
Updated
Oct 8, 2018
Python
Graph-based framework for text classification
Updated
Oct 4, 2018
Python
Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".
Updated
Apr 27, 2020
Python
Python implementation of DNGR model (Deep Neural Networks for Graph Representations)
Updated
Mar 19, 2018
Jupyter Notebook
Evaluation of features for football analysis based on graph representation
Updated
Feb 14, 2020
HTML
Implementation of two graph representations and few algorithms with comparison of how fast they perform.
MATLAB tool for building various unweighted and weighted graph representations of Public Transport Networks using GTFS data for complex network analysis
Updated
Jul 16, 2019
MATLAB
This is the implementation of 2nd Part in 3-Part Series of Algorithms Illuminated Book. All Implementations in this repository are written in both Python and Golang. Single IPython Notebook contains all Algorithms given in this Part 2.
Updated
Aug 8, 2020
Jupyter Notebook
NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.
Updated
Mar 26, 2020
MATLAB
NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
Updated
Mar 30, 2020
Python
A pipeline processor to extract data from Gitlab and transform into a graph representation
Updated
Dec 8, 2019
Python
The repository for data mining 2016 fall semester assignment submission.
Updated
Nov 15, 2016
Java
Recommendation based on graph traversal algorithms
Updated
Jun 25, 2017
Java
Graph representation, GNN, and some graph algorithms
Updated
Aug 19, 2020
Java
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The program builder runs some checks to make sure that graphs are "valid":
https://github.com/ChrisCummins/ProGraML/blob/db8ae633ec02deabaa70e21b88b843dce3d05ba1/programl/graph/program_graph_builder.cc#L147-L164
These are nice for debugging, and sanity checking for graphs that we have control over, but aren't suitable for converting programs from "untrusted" sources. E.g. a compiler may choose