YeonGuKang

agglomerative-hierarchical-clustering

Implements the Agglomerative Hierarchical Clustering algorithm.

Assignment2

ATISE

The source code of ISWC2020 paper "Temporal Knowledge Graph completion based on time series Gaussian embedding " and COLING2020 paper "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation "

awesome-sushi

🍣 국내 스시 오마카세 맛집 리스트

Checipe

Checipe Website for Vegetarian

checipe-website

checipe website

pynytimes

Use all the New York Times APIs in Python!

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

TIL

today i learned

YeonGuKang

YeonGuKang/Checipe

Checipe Website for Vegetarian

YeonGuKang/YeonGuKang

YeonGuKang/ATISE

The source code of ISWC2020 paper "Temporal Knowledge Graph completion based on time series Gaussian embedding " and COLING2020 paper "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation "

YeonGuKang/awesome-sushi

🍣 국내 스시 오마카세 맛집 리스트

YeonGuKang/BIG_TECH_STOCK

거시경제지표 , 주가정보 , 기술적지표를 이용해 산업(지수) 예측을 진행

YeonGuKang/TIL

today i learned

YeonGuKang/BIG_TECH_STOCK_NEWS

뉴스데이터를 추가해서 산업(Index) 예측을 진행함

YeonGuKang/CGM

Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling"

YeonGuKang/CGV-Bot

CGV 자동예매 북마클릿

YeonGuKang/Crawling

Crawling 코드 모음

YeonGuKang/Dev-Event

🎉🎈 개발자 {웨비나, 컨퍼런스, 해커톤} 행사를 알려드립니다. [with 남송리 삼번지]

YeonGuKang/DHCN

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

YeonGuKang/DHGNN

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

YeonGuKang/DL4Stock

This is the project for deep learning in stock market prediction.

YeonGuKang/dual_thrust_stock

dual_thrust기법을 국내 제약주에 적용해봄

YeonGuKang/GNNPapers

Must-read papers on graph neural networks (GNN)

YeonGuKang/graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

YeonGuKang/HGTAN

YeonGuKang/Hierarchical-Clustering

Hierarchical Clustering Python Implementation

YeonGuKang/HIST

The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

YeonGuKang/hypergraphdb

HyperGraphDB is a general purpose, extensible, portable, distributed, embeddable, open-source data storage mechanism. It is a graph database designed specifically for artificial intelligence and semantic web projects, it can also be used as an embedded object-oriented database for projects of all sizes.

YeonGuKang/HyperNetX

Python package for hypergraph analysis and visualization.

YeonGuKang/knowledge-graphs

A collection of research on knowledge graphs

YeonGuKang/OpenKE

An Open-Source Package for Knowledge Embedding (KE)

YeonGuKang/parallelformers

Parallelformers: An Efficient Model Parallelization Toolkit for Deployment

YeonGuKang/qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

YeonGuKang/QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

YeonGuKang/Sentiment-stock

네이버뉴스, 종목토론방의 글 감성분석을 통해 주가 예측을 진행함

YeonGuKang/streamlit

Streamlit — The fastest way to build data apps in Python

YeonGuKang/yfinance

Download market data from Yahoo! Finance's API