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41 public repositories
matching this topic...
A Deep Graph-based Toolbox for Fraud Detection
Updated
May 27, 2021
Python
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
Updated
Jul 5, 2020
Python
A collection of GNN-based fake news detection models.
Updated
Jun 11, 2021
Python
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
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Jun 17, 2021
Python
Code for reproducing results in GraphMix paper
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Jun 8, 2021
Python
WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
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Aug 25, 2021
Python
This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
Updated
Oct 30, 2020
Jupyter Notebook
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Updated
Jul 3, 2021
Python
FUNDED is a novel learning framework for building vulnerability detection models.
Updated
Jul 16, 2021
Python
A comprehensive collection of GNN works in NeurIPS 2019.
Graph Convolutional Networks for 4-class EEG Classification
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Sep 24, 2020
Python
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
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Aug 13, 2020
Python
Pytorch implementation of "Bootstrapped Representation Learning on Graphs"
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Jul 8, 2021
Python
Tracking and Trajectory Prediction
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Aug 11, 2021
Python
Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)
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Jan 27, 2020
Python
I propose a method which regards key points as a Graph, modeled by Attention-Based Graph Neural Network.
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Jun 8, 2021
Python
Updated
Jun 19, 2019
Python
Various GNN implementation using DGL library
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Mar 8, 2020
Python
Graph Analysis Course Notes
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Nov 7, 2019
Python
Build Graph Nets in Tensorflow
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Nov 29, 2019
Python
Graph4CTR(GCNs, GATs, HGCNs)
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Feb 11, 2020
Python
Official torch geometric code for the paper Detecting structural perturbations from time series with deep learning
Updated
Mar 5, 2021
Jupyter Notebook
Pytorch Geometric => Build Graph Neural Network RDKit => Handle Molecule Data
Updated
Mar 15, 2021
Jupyter Notebook
Graph Neural Network related books, papers and toolboxes
This repository contains 130th position solution for GE attribution challenge hosted by ALT labs
Updated
Nov 22, 2020
Jupyter Notebook
Source code of the final course paper "Enhancing Word Embeddings with Graph-Based Text Representations"
Updated
Jun 14, 2021
Jupyter Notebook
Using pure Numpy to Implement general & graph-based deep learning model, including ANN, GCN, ...
Updated
Sep 28, 2019
Jupyter Notebook
Source code for GraphPOPE (Graph Position-aware Preprocessed Embeddings) developed in partial fulfilment for the Master Information Studies Data Science in cooperation with Socialdatabase Research.
Updated
Jun 25, 2021
Python
Graph Neural Network Model implemented in Tensorflow 2.x
Updated
Jul 21, 2021
Python
Updated
Jul 17, 2021
Jupyter Notebook
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