HKUDS

✨Data Intelligence Lab@HKU✨'s starred repositories

Awesome-LLM4Graph-Papers

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

226 70

OpenGraph

[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"

Language:PythonApache-2.0211 5 5

UrbanGPT

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

Language:PythonApache-2.0204 7 22

LightGCL

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

Language:Python171 6 26

GraphEdit

"GraphEdit: Large Language Models for Graph Structure Learning"

Language:PythonApache-2.0118 3 14

AnyGraph

"AnyGraph: Graph Foundation Model in the Wild"

Language:Python11600

HiGPT

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

Language:PythonApache-2.0104 2 9

Awesome-SSLRec-Papers

A Comprehensive Survey of Self-Supervised Learning for Recommendation

97 4 1

HGCL

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

Language:Python91 4 16

XRec

[EMNLP'2024] "XRec: Large Language Models for Explainable Recommendation"

Language:PythonApache-2.091 3 6

EasyRec

"EasyRec: Simple yet Effective Language Model for Recommendation"

Language:Python84 3 2

DiffKG

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

Language:Python80 4 5

GPT-ST

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

Language:PythonApache-2.067 3 4

OpenCity

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

Language:Python61 1 3

RecDiff

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

Language:PythonApache-2.060 2 2

FlashST

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

Language:PythonApache-2.056 3 6

AutoST

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

Language:Python55 4 2

MAERec

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

Language:Python54 5 11

DCRec

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

Language:PythonMIT51 2 8

GraphPro

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

Language:PythonApache-2.051 2 2

AutoCF

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

Language:Python48 4 23

DiffMM

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

Language:Python44 2 1

GraphST

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

Language:Python44 3 3

PromptMM

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

Language:Python40 2 2

SelfGNN

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

Language:Jupyter NotebookApache-2.038 10

SimRec

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

Language:Python31 3 2

DSL

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

Language:Python24 4 9

DGNN

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

Language:Python16 40

GraphAug

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

Language:Python16 3 3

EasyST

[CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"

Language:Python700