NIKE-ADIDAS's repositories
awesome-drug-discovery-knowledge-graphs
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
BERN2
BERN2: an advanced neural biomedical namedentity recognition and normalization tool
Causal_Knowledge_GNN
This is the code implementation for the paper Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge
CTKG
The Clinical Trials Knowledge Graph
custom-chatgpt-qa
custom ChatGPT Q&A system for an Organization's Knowledge Database
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Data_Mining
Intern projects on Recommender System, Time Series Forecast, Sentiment Analysis
dcg_supp
Deep Causal Graphs - libraries and supplementary material for the paper "Estimand-Agnostic Causal Query Estimation with Deep Causal Graphs"
decagon
Graph convolutional neural network for multirelational link prediction
DESCN
Implementation of paper DESCN, which is accepted in SIGKDD 2022.
GraphCTR
This repo includes some graph-based CTR prediction models and other representative baselines.
Interview
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
KGCLG
Knowledge Graph Recommender System with Contrastive Learning and GCN
KGCN-pytorch
KGCN pytorch model implementation
KGE-model
Knowledge Graph Embeddings 3 โมเดล ได้แก่ TransE, ComplEx และ RotatE ในการหาความสัมพันธ์ของคำศัพท์ระหว่างชุดข้อมูลกราฟความรู้ใน Conceptnet กับ เป้าหมายพัฒนาอย่างยั่งยืน (SDGs: Sustainable Development Goals)
Knowledge-Graph-Tutorials-and-Papers
Insightful Tutorials and Papers about Knowledge Graphs
lbd-covid
Drug repurposing for COVID-19 using literature-based discovery
Point-Of-Interest_recommendation-through-GNNs-on-heterogeneous-graphs
Point-Of-Interest recommendation through GNNs on heterogeneous graphs
recommendation-pytorch
基于王喆老师的深度学习推荐系统书籍，主要用pytorch实现了里面涉及到的算法，有很少数量的算法是用tf2.0实现的。在这个过程中也参考很多大佬的复现代码，希望自己能持续学习 多多去实现。
recsys-tutorial
Tutorials and examples of various recommender systems in industrial applications
semmed_context
A database of 250k predications from SemMedDB with certainty and polarity annotations.
skywalkR
code for Gogleva et al manuscript
Source-Code-Notebook
关于一些经典论文源码的逐行中文笔记
TKGAT
Tag-aware Knowledge Graph Attention Network