edwardelson / link-predictionLinks
This is a collection of link prediction tutorials that I wrote. Some notebooks are accompanied by medium blogposts that you can find here https://medium.com/@eekosasih .
☆10Updated 4 years ago
Alternatives and similar repositories for link-prediction
Users that are interested in link-prediction are comparing it to the libraries listed below
Sorting:
- A repo for holding example code☆157Updated 2 months ago
- here you can find the material used for our Tutorials☆103Updated 3 years ago
- Official implementation of Temporal-Guided Networks☆48Updated 5 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- Jupyter notebooks for testing ML models☆21Updated 4 years ago
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- Code for "R-GCN: The R Could Stand for Random"☆37Updated 2 years ago
- ☆57Updated last year
- ☆170Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- ☆31Updated 2 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆63Updated 5 years ago
- ☆18Updated 5 years ago
- ☆37Updated 4 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Course titled Practical Machine Learning on Graphs☆44Updated 4 years ago
- Time series forecasting with PyTorch☆84Updated 2 months ago
- New Algorithms for Learning on Hypergraphs☆40Updated 3 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 4 years ago
- Change Detection in a sequence of Graphs☆22Updated 3 years ago
- A neural network hyper parameter tuner☆30Updated last year
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 3 years ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 3 years ago
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆16Updated last year
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 3 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆58Updated last year
- Python package for graph-based clustering and semi-supervised learning☆94Updated 4 months ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago