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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

drgcl

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

graphau

graphhinge

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

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"

himol

igmc

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

lbmff

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".

mdimage

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"

simple-aau

sms-spam-detector