🎯 Task-oriented embedding tuning for BERT, CLIP, etc.

基于Pytorch和torchtext的自然语言处理深度学习框架。

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.

Implements various negative sampling techniques for learning knowledge graph embeddings

Embedding模型代码和学习笔记总结

[Paper][LREC-COLING 2024] Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

A PyTorch Implementation of the Skipgram Negative Sampling Word2Vec Model as Described in Mikolov et al.

Implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"

A Jax implementation of word2vec's skip-gram model with negative sampling as described in Mikolov et al., 2013

PyTorch implementation for " Conditional Negative Sampling for Contrastive Learning of Visual Representations" (https://arxiv.org/abs/2010.02037).

Cooperation of Retriever and Ranker Framework.

[Paper][IJCNN2023] Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding

InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data (BigData 2021)

Word2Vec sikp-gram model with negative sampling implementation with python3

Pytorch implementation of GeoSAN (Geography-Aware Sequential Location Recommendation. KDD 2021)