thatsShirleyLee

AdaDR

AdaMCL

PyTorch implementation of AdaCML

AM-GCN

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

BSPM

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

DGCL

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

DRAGNN

GraphHINGE

Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

simple-aau

sms-spam-detector

thatsShirleyLee/AdaDR

thatsShirleyLee/GraphHINGE

Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

thatsShirleyLee/simple-aau

thatsShirleyLee/sms-spam-detector

thatsShirleyLee/AdaMCL

PyTorch implementation of AdaCML

thatsShirleyLee/AM-GCN

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

thatsShirleyLee/BSPM

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

thatsShirleyLee/DGCL

thatsShirleyLee/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

thatsShirleyLee/DRAGNN

thatsShirleyLee/DRGCL

thatsShirleyLee/gcmc

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

thatsShirleyLee/GHRS

GHRS: Graph-based hybrid recommendation system with application to movie recommendation

thatsShirleyLee/GLACE

Gaussian Embedding of Large-scale Attributed Graphs

thatsShirleyLee/Glocal_K

This repository contains code for paper GLocal-K: Global and Local Kernels for Recommender Systems, published in CIKM 2021

thatsShirleyLee/GraphAU

thatsShirleyLee/GraphRec

(GraphRec) Attribute-aware non-linear co-embeddings of graph features, RecSys 2019

thatsShirleyLee/grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

thatsShirleyLee/HCCF

HCCF, SIGIR 2022

thatsShirleyLee/HGCL

[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"

thatsShirleyLee/HiMol

thatsShirleyLee/IGMC

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

thatsShirleyLee/LBMFF

thatsShirleyLee/LightGCL

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

thatsShirleyLee/LightGCN-PyTorch

The PyTorch implementation of LightGCN

thatsShirleyLee/MDGCF

[CIKM 2022] Official PyTorch implementation for "MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies".

thatsShirleyLee/mdimage

thatsShirleyLee/mg-gat

Multi-Graph Graph Attention Network (MG-GAT) from "Y. Leng, R. Ruiz, X. Dong, and A. Pentland, Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective"

thatsShirleyLee/NAGphormer

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

thatsShirleyLee/SeHGNN