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applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

atpapers icon atpapers

Worth-reading papers and related resources on attention mechanism, Transformer and pretrained language model (PLM) such as BERT. 值得一读的注意力机制、Transformer和预训练语言模型论文与相关资源集合

awesome-diffusion-models icon awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

cikm2020-s3rec icon cikm2020-s3rec

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

ctkg icon ctkg

The Clinical Trials Knowledge Graph

d3i icon d3i

The unorganized code and data are for the paper "Deep Learning for High-Order Drug-Drug Interaction Prediction"

d3i-code-data- icon d3i-code-data-

The code and data are for the paper "Deep Learning for High-Order Drug-Drug Interaction Prediction".

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

drkg icon drkg

A knowledge graph and a set of tools for drug repurposing

drl-rec icon drl-rec

Deep reinforcement learning for recommendation system

equivalence icon equivalence

Equivalence Between Structural Representations and Positional Node Embeddings

fucking-algorithm icon fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

kdd_winniethebest icon kdd_winniethebest

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

kg4rec icon kg4rec

Knowledge-aware recommendation papers.

kge icon kge

Some papers on Knowledge Graph Embedding(KGE)

kgnn-ls icon kgnn-ls

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

lihang icon lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

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