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htgnn

hw_22.big-data-challenge.amazon_reviews.amazone.vine

hypothesis-generation

neo4j_path hypothesis-generation

hypothtest

Evidence-based hypothesis testing in the biomedical research is a crucial part for the validation of any study. In our [prototype (link)][hypothtest] for evidence-based hypothesis testing, we focus on causal hypotheses among the factors (e.g., biological processes) which participate in a pathogenesis of a musculoskeletal disease. The prototype h…

icme2019-bytedance-grand-challenge

字节跳动短视频内容理解和推荐 Track2 Top8

inductive-graph-representation-learning-for-fraud-detection

This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detection

integrate

Scripts and resources to create Hetionet v1.0, a heterogeneous network for drug repurposing

interview

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

javanotes

🧱 「Java学习」一份涵盖大部分Java程序员所需要掌握的核心知识。JDK 源码分析 & Java 新特性 & Java 并发编程 & Java 虚拟机 & SpringBoot 2.x 系列

kbqa-study

基于医疗知识图谱的问答系统（添加了注释，方便调试阅读）

kdd_cup2022_amazonproductsearchesci

kdd_winniethebest

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

kg-demo-for-movie

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

kgclg

Knowledge Graph Recommender System with Contrastive Learning and GCN

kgcn

A graph-based deep learning framework for life science

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)

kge_predictions_gd

Predicting Gene-Disease Associations

knowledge-driven-spoken-dialogue

knowledge-graph-example

构建简单的知识图谱实例——公司股票数据

knowledge-graph-from-gpt-3

Using GPT-3 to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.

knowledge-graph-learning

A curated list of awesome knowledge graph tutorials, projects and communities.

knowledge-graph-tutorials-and-papers

Insightful Tutorials and Papers about Knowledge Graphs

lagcn

Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"

lbd-covid

Drug repurposing for COVID-19 using literature-based discovery

link_prediction_leap

Inductive Link Prediction via Topology Augmentation

machine-learning-with-ontologies

making-heterographs-for-fraud-detection

Using graph neural networks, implemented fraud detection model using heterographs

materiallawcausal

The code for the paper "Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty quantification"

maxp_baseline_model