ychuest

CDHGNN

prioritizing disease-related circRNAs with heterogeneous graph neural networks and attention mechanism

GAT-pytorch

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

GATCL2CD

Predicting CircRNA-Disease associations via feature convolution learning with heterogeneous graph attention network

GTC

HINormer

Representation Learning On Heterogeneous Information Networks with Graph Transformer（WWW‘23）

HypergraphSynergy

code for "Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction"

MCHNN

Source code and supplementary materials for paper "Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction (IJCAI 2023)"

MRCGNN

Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Event Prediction"

MRLHGNN

SeHGNN-1

论文笔记&复现：SeHGNN, 2022, arXiv

ychuest/academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ychuest/AdaFuse

The official code of ’AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention‘.

ychuest/AFDGCF

AFDGCF

ychuest/Awesome-Cold-Start-Recommendation

A curated list of papers on cold-start recommendations.

ychuest/Awesome-Pretraining-for-Graph-Neural-Networks

A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

ychuest/BiGAE

Code Repo for EMNLP'23 paper "Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders"

ychuest/EmerGNN

Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. Nature Computational Science. 2023.

ychuest/ffgt

Hybrid Focal and Full-Range Attention Based Graph Transformers

ychuest/Havard-Medical-Image-Fusion-Datasets

Havard Medical Image Fusion Datasets CT-MRI PET-MRI SPECT-MRI

ychuest/hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

ychuest/Janus_AI

Face Swapping using Mediapipe and OpenCV

ychuest/KAN4Graph

Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs

ychuest/LCASPMDA

ychuest/LDHC-pytorch

ychuest/LLM_DDA

Empowering graph neural network-based computational drug repositioning with large language model-inferred knowledge representation

ychuest/llm_interview_note

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

ychuest/llms-from-scratch-cn

仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理

ychuest/LMSPS

Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks

ychuest/LPFormer

Implementation of the paper "LPFormer: An Adaptive Graph Transformer for Link Prediction"

ychuest/lv_yolov9_openvino

Use Yolov9 in LabView OV toolkit

ychuest/mamba

Mamba SSM architecture

ychuest/mamba.py

A simple and efficient Mamba implementation in PyTorch and MLX.

ychuest/MiGCN

可处理推荐系统的关联预测

ychuest/NIE-GCN

NIE-GCN: Neighbor Item Embedding-aware Graph Convolutional Network for Recommendation

ychuest/PhyGCN

ychuest/RecSysDatasets

This is a repository of public data sources for Recommender Systems (RS).

ychuest/RemoteOS

A desktop app that allows you to connect to your Operating System from another device

ychuest/RpHGNN

Source code and dataset of the paper "Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"

ychuest/SpliceBERT

Primary RNA sequence model

ychuest/Yolo-FastestV2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+