Name: Matthias Fey
Type: User
Company: Kumo.AI
Bio: Creator of PyG (PyTorch Geometric) - Founding Engineer @ Kumo.AI - PhD @ TU Dortmund University - Interested in Graph Representation Learning
Twitter: rusty1s
Location: Dortmund, Germany
Blog: https://rusty1s.github.io
Matthias Fey's Projects
π Lookup classes and instantiate them with style
Energieeffizienz durch Computation Offloading in der Cloud
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
Datasets for Knowledge Graph Completion with textual information about the entities
Implementation of "Deep Graph Matching Consensus" in PyTorch
Allows a child select box to change its options dependent on its parent select box
the Mining / Crafting / Trading game (Swift 2.0)
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
An open source python library for automated feature engineering
Implementation of Planar Graph Convolutional Networks in TensorFlow
Pytorch implementation of Group Equivariant Capsule Networks
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Source code for AAAI subimssion #3463.
ES6 RESTFul Koa2 API with Mongoose and OAuth2
Machine learning metrics for distributed, scalable PyTorch applications.
lightweight module for node.js/express.js to create beautiful mongoose i18n validation error messages
Mongoose plugin to support i18n and localization
mongoose plugin to validate integer values within a Mongoose Schema
Qualitative Semantiken fΓΌr DAGs - ein Vergleich von OCF- und CP-Netzwerken
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
PyTorch Extension Library of Optimized Graph Cluster Algorithms