HKUDS

✨Data Intelligence Lab@HKU✨'s repositories

GraphGPT

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

Language:PythonApache-2.0433 4 67

SSLRec

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Language:Python317 9 35

LLMRec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

Language:Python257 5 13

RLMRec

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

Language:Python202 5 5

LightGCL

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

Language:Python148 6 26

OpenGraph

"OpenGraph: Towards Open Graph Foundation Models"

Language:PythonApache-2.0146 5 1

MMSSL

[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

Language:Python143 3 16

UrbanGPT

"UrbanGPT: Spatio-Temporal Large Language Models"

Language:Python110 6 6

GraphEdit

"GraphEdit: Large Language Models for Graph Structure Learning"

Language:Python94 1 5

HiGPT

"HiGPT: Heterogenous Graph Language Models"

Language:PythonApache-2.069 2 3

Awesome-SSLRec-Papers

A Comprehensive Survey of Self-Supervised Learning for Recommendation

64 40

DiffKG

[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"

Language:Python50 4 1

MAERec

[SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"

Language:Python50 5 9

KGRec

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

Language:Python48 2 17

GPT-ST

[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"

Language:Python47 3 3

DCCF

[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"

Language:Python46 4 11

GFormer

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

Language:Python46 4 5

AdaGCL

[KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"

Language:Python45 3 4

AutoCF

[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"

Language:Python43 4 20

AutoST

[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"

Language:Python43 4 2

GraphPro

[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"

Language:Python3700

GraphST

[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"

Language:Python33 3 3

PromptMM

[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"

Language:Python2700

STExplainer

[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"

Language:PythonApache-2.027 3 4

DSL

[IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"

Language:Python19 4 6

CL4ST

[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"

Language:PythonApache-2.016 4 3

GTE

[CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"

Language:Python16 30

GraphAug

[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"

Language:Python14 3 2

RCL

[Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"

Language:Python9 2 2

HKUDS

4 20