PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
OTHER License
Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
DeepWalk - Deep Learning for Graphs
Representation learning on large graphs using stochastic graph convolutions.
Code for the paper "Taxonomy Completion via Triplet Matching Network" AAAI 2021
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...
Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" h...
Implementation and experiments of graph embedding algorithms.
Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)
StellarGraph - Machine Learning on Graphs
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch ...
A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instea...