Shirley Lee's repositories
GraphHINGE
Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"
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
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
gcmc
Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)
GHRS
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
GLACE
Gaussian Embedding of Large-scale Attributed Graphs
Glocal_K
This repository contains code for paper GLocal-K: Global and Local Kernels for Recommender Systems, published in CIKM 2021
GraphRec
(GraphRec) Attribute-aware non-linear co-embeddings of graph features, RecSys 2019
grover
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
HCCF
HCCF, SIGIR 2022
HGCL
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
IGMC
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
LightGCL
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
LightGCN-PyTorch
The PyTorch implementation of LightGCN
MDGCF
[CIKM 2022] Official PyTorch implementation for "MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies".
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"