Pinned Repositories
CDHGNN
prioritizing disease-related circRNAs with heterogeneous graph neural networks and attention mechanism
DEALRec
Data-efficient Fine-tuning for LLM-based Recommendation
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 (JBHI'23)
HypergraphSynergy
code for "Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction"
LRGCNCDA
LRGCNCDA, which effectively predicts the association between circRNA and disease, is a method based on layer-refined graph convolutional networks.
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
Drug repositioning via Multi-view Representation Learning with Heterogeneous Graph Neural Network (JBHI'24)
SeHGNN-1
论文笔记&复现:SeHGNN, 2022, arXiv
ychuest's Repositories
ychuest/SeHGNN-1
论文笔记&复现:SeHGNN, 2022, arXiv
ychuest/LRGCNCDA
LRGCNCDA, which effectively predicts the association between circRNA and disease, is a method based on layer-refined graph convolutional networks.
ychuest/MRCGNN
Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Event Prediction"
ychuest/HINormer
Representation Learning On Heterogeneous Information Networks with Graph Transformer(WWW‘23)
ychuest/LayerGCN
Layer-refined Graph Convolutional Networks for Recommendation
ychuest/MHGNN-DTI
ychuest/Adaptive-Graph-Diffusion-Networks
Adaptive Graph Diffusion Networks
ychuest/ApeGNN
Node-Wise Adaptive Aggregation in GNNs for Recommendation (WWW23)
ychuest/CCFCRec
ychuest/CMPE297-CV-Project-Team-4
CPMPE297 Computer Vision Project
ychuest/DeepCoVDR
ychuest/DNNCC_mindspore
蛋白质序列处理方法
ychuest/FlatGCN
This is the official Pytorch-version code of FlatGCN (Flattened Graph Convolutional Networks for Recommendation).
ychuest/GengHao-Lightning
GengHao Lightning!
ychuest/GengHao-Toolkit
GengHao Toolkit,深度学习工作者的一大利器!(雾)
ychuest/HCCF
HCCF, SIGIR 2022
ychuest/hetGTNet
This repository contains the codes and data to replicate the experimental results in the manuscript Heterogeneous Graph Tree Networks.
ychuest/HGAN-DTI
ychuest/HGCL
[WSDM'2023] "Heterogeneous Graph Contrastive Learning for Recommendation"
ychuest/HGNN
Hypergraph Neural Networks (AAAI 2019)
ychuest/KGCL
[SIGIR'22] Knowledge Graph Contrastive Learning for Recommendation
ychuest/KGETCDA
committed Nucleic Acids Research
ychuest/LightGCL
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
ychuest/MilGNet
MilGNet: Meta-Path-Based Deep Multiple Instance Learning with Heterogeneous Graph Neural Network for Drug-disease Association Prediction
ychuest/PT-GNN
ychuest/REDDA
REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
ychuest/RMS-HRec
The source code of RMS-HRec (CIKM'22)
ychuest/SMGCL
ychuest/SUGRL
ychuest/svd_gcn
CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation