HKUDS

✨Data Intelligence Lab@HKU✨'s starred repositories

EasyRec

"EasyRec: Simple yet Effective Language Model for Recommendation"

Language:Python6100

AnyGraph

"AnyGraph: Graph Foundation Model in the Wild"

Language:Python3400

OpenCity

"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"

Language:Python1900

DiffMM

[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"

Language:Python4000

XRec

"XRec: Large Language Models for Explainable Recommendation"

Language:PythonApache-2.08400

RecDiff

[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"

Language:PythonApache-2.06100

FlashST

[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"

Language:PythonApache-2.05000

Awesome-LLM4Graph-Papers

[KDD'2024 Survey+Tutorial] "LLM4Graph: A Survey of Large Language Models for Graphs"

17900

SelfGNN

[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"

Language:Jupyter NotebookApache-2.03400

Awesome-SSLRec-Papers

A Comprehensive Survey of Self-Supervised Learning for Recommendation

9200

GraphAug

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

Language:Python1600

OpenGraph

"OpenGraph: Towards Open Graph Foundation Models"

Language:PythonApache-2.020200

HiGPT

[KDD'2024] "HiGPT: Heterogenous Graph Language Models"

Language:PythonApache-2.09700

PromptMM

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

Language:Python3700

UrbanGPT

[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

Language:PythonApache-2.019500

GraphEdit

"GraphEdit: Large Language Models for Graph Structure Learning"

Language:PythonApache-2.011500

GraphPro

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

Language:PythonApache-2.05100

GPT-ST

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

Language:PythonApache-2.06500

DiffKG

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

Language:Python7700

DGNN

[ICDE'23] "DGNN: Disentangled Graph Social Recommendation"

Language:Python1600

SimRec

[WWW'23] "SimRec: Graph-less Collaborative Filtering"

Language:Python3000

DCRec

[WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"

Language:PythonMIT4900

DSL

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

Language:Python2300

AutoCF

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

Language:Python4800

HGCL

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

Language:Python9000

MAERec

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

Language:Python5300

LightGCL

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

Language:Python17000

GraphST

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

Language:Python3800

AutoST

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

Language:Python5100

GFormer

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

Language:PythonApache-2.06300