TensorFlow code and pre-trained models for BERT

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Implementation of the node2vec algorithm.

Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882

Box Embeddings as Modules

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning

Capturing Set-Theoretic Semantics of Words using Box Embeddings

Code from the paper "Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity"

Repository for ACL 2020 Paper: "It Takes Two to Lie: One to Lie, and One to Listen"

Generalized Specialization of Distributional Embeddings for Lexical Entailment (that is, Hypernymy, is-a relation)