Pinned Repositories
pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
BoxE
Implementation of the BoxE model from the NeurIPS 2020 paper "BoxE: A Box Embedding Model for Knowledge Base Completion". Also includes a visualization tool, BoxEViz, to show the evolution of boxes over training.
GNN-RNI
The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
NeuralDNF
Neural#DNF: A Graph Neural Network for approximating the weighted model count of a DNF formula. Also includes an implementation of the Karp, Luby and Madras approximation algorithm and a random DNF generator.
oxai
Oxford Artificial Intelligence Society
personal-website
Source code for my personal website.
pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
seq2seq
A general-purpose encoder-decoder framework for Tensorflow
ralphabb's Repositories
ralphabb/BoxE
Implementation of the BoxE model from the NeurIPS 2020 paper "BoxE: A Box Embedding Model for Knowledge Base Completion". Also includes a visualization tool, BoxEViz, to show the evolution of boxes over training.
ralphabb/GNN-RNI
The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
ralphabb/NeuralDNF
Neural#DNF: A Graph Neural Network for approximating the weighted model count of a DNF formula. Also includes an implementation of the Karp, Luby and Madras approximation algorithm and a random DNF generator.
ralphabb/oxai
Oxford Artificial Intelligence Society
ralphabb/personal-website
Source code for my personal website.
ralphabb/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
ralphabb/seq2seq
A general-purpose encoder-decoder framework for Tensorflow