Huixuan Chi (迟慧璇)'s repositories
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-GraphSAGE
使用Pytorch Geometric(PyG)实现了Cora、Citeseer、Pubmed数据集上的GraphSAGE模型(full-batch)
dgl-lp-baseline
Link prediction gnn baselines implemented by DGL.
ogbl-vessel
OGBL-Vessel submmision.
TGN-DGraphFin
TGN for anomaly detection in DGraph-Fin dataset. (Top2 🥈 solution in DGraph-Fin Leaderboard) https://dgraph.xinye.com/
CARE-GNN
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
CLSR
Implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
CTDNE
Implementation of the CTDNE algorithm.
DeepSeek-Coder
DeepSeek Coder: Let the Code Write Itself
DGraphFin_baseline
This is a repository contaning baseline code for DGraphFin Dataset
GCC
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
LAGNN
ICML'22: Local Augmentation for Graph Neural Networks
LightGCN-PyTorch
The PyTorch implementation of LightGCN
MEANTIME
MEANTIME
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
PLNLP
Pairwise learning neural link prediction for ogb link prediction
ReChorus
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
SAE-NAD
The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
SEAL_OGB
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
SELFRec
An open-source framework for self-supervised recommender systems.
SGDL
Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.
SLRC
WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
STRNN
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
ytchx1999.github.io
https://ytchx1999.github.io/