codediyi

Awesome-Mamba-Papers

Awesome Papers related to Mamba.

GraphDA

SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"

pykt-toolkit

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

EduKTM

The Model Zoo of Knowledge Tracing Models

KB4Rec

This is the data for KB4Rec

Awesome-SSLRec-Papers

A Comprehensive Survey of Self-Supervised Learning for Recommendation

GOSR

GOSR code

LGMRec

[AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".

HGCAN

Awesome-Deep-Group-Recommendation

Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).

GFormer

[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"

DuoRec

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

GNNPapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

KGRec

[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"

KGCL-SIGIR22

[SIGIR'22] Knowledge Graph Contrastive Learning for Recommendation

QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

TKGAT

Tag-aware Knowledge Graph Attention Network (Knowledge-Based Systems)

MGAT

This project is the source code for Multimodal Graph Attention Network(MGAT). The source code will be available on the acceptance of the paper.

DisenHAN

Source code of DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation, CIKM 2020

DisenKGAT

[CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"

ogb

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

TGSRec

LTE4G

The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.

ApeGNN

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation (WWW'23)

LightGCN-PyTorch

The PyTorch implementation of LightGCN

CogDL

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

MMCLR

this is the code of MMCLR

sli_rec

ACKRec

gcn