ytchx1999

DreamerGPT

🌱 梦想家(DreamerGPT)：中文大语言模型指令精调

Dynamic-Graph-Embedding-Methods-Summary

动态图嵌入方法学习

Graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

GraphSAGE-Cora-Citeseer-Pubmed

这是GraphSAGE模型在Cora、Citeseer、Pubmed数据集上的复现代码。语言：PyTorch

MAXP_DGL_Graph

MAXP 命题赛 任务一：基于DGL的图机器学习任务。队伍：Graph@ICT，🥉rank6。https://www.biendata.xyz/competition/maxp_dgl/

PyG-GNN-Test

使用PyTorch Geometric对GNN典型模型的各阶段执行时间进行测试和分析

PyG-GraphSAGE

使用Pytorch Geometric（PyG）实现了Cora、Citeseer、Pubmed数据集上的GraphSAGE模型（full-batch）

PyG-JK-Nets

PyTorch_Geometric实现的JK-Nets（Jumping Knowledge Network），其中也包括了baseline的GCN和GAT。数据集使用的「Cora、Citeseer、Pubmed」

PyG-OGB-Tricks

Bags of Tricks in OGB (node classification) with GCNs.

UCAS_DM_GTL_Tianchi

2021 亚太眼科学会大数据竞赛（APTOS）。队伍：UCAS_DM_GTL，初赛rank: 85/10006。比赛官网：https://tianchi.aliyun.com/competition/entrance/531929/information

ytchx1999/MAXP_DGL_Graph

MAXP 命题赛 任务一：基于DGL的图机器学习任务。队伍：Graph@ICT，🥉rank6。https://www.biendata.xyz/competition/maxp_dgl/

ytchx1999/PyG-GraphSAGE

使用Pytorch Geometric（PyG）实现了Cora、Citeseer、Pubmed数据集上的GraphSAGE模型（full-batch）

ytchx1999/dgl-lp-baseline

Link prediction gnn baselines implemented by DGL.

ytchx1999/TGN-DGraphFin

TGN for anomaly detection in DGraph-Fin dataset. (Top2 🥈 solution in DGraph-Fin Leaderboard) https://dgraph.xinye.com/

ytchx1999/ogbl-vessel

OGBL-Vessel submmision.

ytchx1999/CARE-GNN

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

ytchx1999/CLSR

Implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

ytchx1999/CTDNE

Implementation of the CTDNE algorithm.

ytchx1999/DeepSeek-Coder

DeepSeek Coder: Let the Code Write Itself

ytchx1999/DGraphFin_baseline

This is a repository contaning baseline code for DGraphFin Dataset

ytchx1999/DPGN

Code for CIKM2023 Long paper "DPGN: Denoising Periodic Graph Network for Life Service Recommendation"

ytchx1999/GCC

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

ytchx1999/GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

ytchx1999/graphSAGE-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

ytchx1999/ICLRec

ytchx1999/LAGNN

ICML'22: Local Augmentation for Graph Neural Networks

ytchx1999/LightGCN-PyTorch

The PyTorch implementation of LightGCN

ytchx1999/MEANTIME

MEANTIME

ytchx1999/ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

ytchx1999/PLNLP

Pairwise learning neural link prediction for ogb link prediction

ytchx1999/ReChorus

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

ytchx1999/SAE-NAD

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

ytchx1999/SEAL_OGB

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

ytchx1999/SELFRec

An open-source framework for self-supervised recommender systems.

ytchx1999/SGDL

Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

ytchx1999/SLRC

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

ytchx1999/STRNN

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

ytchx1999/TGSRec

ytchx1999/ytchx1999

My name is Huixuan Chi. I am an undergraduate student, majoring in computer science and technology. Welcome!

ytchx1999/ytchx1999.github.io

https://ytchx1999.github.io/