PacktPublishing / Graph-Machine-Learning
Graph Machine Learning, published by Packt
☆266Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Graph-Machine-Learning
- Code and Content for Manning Publication on Graph Neural Networks☆55Updated 2 months ago
- A Graph Neural Network project on HIV data☆261Updated 5 months ago
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆299Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆40Updated 3 years ago
- A repo for holding example code☆150Updated last year
- ☆57Updated 2 years ago
- here you can find the material used for our Tutorials☆97Updated 2 years ago
- Solutions for CS224W Winter 2021 Colab☆157Updated 4 months ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆34Updated last year
- Tutorials for Machine Learning on Graphs☆209Updated 3 years ago
- CS224W Stanford Winter 2021 Homework solutions☆196Updated 2 years ago
- Social Network Analysis in Python and Julia using Networkx,IGraph and LightGraphs.jl☆48Updated last month
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆32Updated 3 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 3 years ago
- Network Science with Python and NetworkX Quick Start Guide, published by Packt☆137Updated last year
- CS224W Course Notes☆297Updated 3 years ago
- Pytorch Geometric Tutorials☆1,057Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆172Updated 5 months ago
- A curated list of graph data augmentation papers.☆300Updated 7 months ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆79Updated 4 months ago
- Papers about explainability of GNNs☆660Updated last month
- This repo contains all the code required by the book organized by chapter☆69Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆246Updated 2 years ago
- Graph neural network implementation using numpy☆39Updated 5 years ago
- Hands-On Graph Neural Networks Using Python, published by Packt☆755Updated 6 months ago
- Python library assists deep learning on graphs☆550Updated last year
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆329Updated last year
- ☆31Updated 2 years ago
- Graph Neural Network Tutorial☆180Updated 4 years ago
- Deep Learning and XAI Techniques for Anomaly Detection, published by Packt☆36Updated last year