PacktPublishing / Graph-Machine-Learning
Graph Machine Learning, published by Packt
☆276Updated 2 years ago
Alternatives and similar repositories for Graph-Machine-Learning:
Users that are interested in Graph-Machine-Learning are comparing it to the libraries listed below
- Code and Content for Manning Publication on Graph Neural Networks☆78Updated 2 months ago
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆358Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- A repo for holding example code☆155Updated 2 weeks ago
- A Graph Neural Network project on HIV data☆276Updated 10 months ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆40Updated 3 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆89Updated 9 months ago
- Tutorials for Machine Learning on Graphs☆221Updated 3 years ago
- Graph Neural Networks for Recommender Systems☆293Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆186Updated 11 months ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆33Updated last year
- Solutions for CS224W Winter 2021 Colab☆162Updated 9 months ago
- ☆59Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆268Updated 2 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- Pytorch Geometric Tutorials☆1,104Updated 2 years ago
- Repository for Fraud Dataset Benchmark☆175Updated last year
- Papers about explainability of GNNs☆718Updated this week
- CS224W Stanford Winter 2021 Homework solutions☆196Updated 3 years ago
- Explanation method for Graph Neural Networks (GNNs)☆68Updated last week
- Graph Neural Network Tutorial☆186Updated 4 years ago
- Pytorch Geometric link prediction of a homogeneous social graph.☆26Updated 2 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆353Updated last year
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆109Updated 4 years ago
- Network Science with Python and NetworkX Quick Start Guide, published by Packt☆144Updated 2 years ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆409Updated this week
- Course: Deep Learning☆191Updated last year
- My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)☆29Updated 3 years ago