HKUDS

GraphGPT

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

SSLRec

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

LLMRec

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

RLMRec

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

OpenGraph

"OpenGraph: Towards Open Graph Foundation Models"

UrbanGPT

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

MMSSL

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

Awesome-LLM4Graph-Papers

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

GraphEdit

"GraphEdit: Large Language Models for Graph Structure Learning"

HiGPT

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

Awesome-SSLRec-Papers

A Comprehensive Survey of Self-Supervised Learning for Recommendation

XRec

"XRec: Large Language Models for Explainable Recommendation"

DiffKG

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

GPT-ST

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

GFormer

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

RecDiff

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

KGRec

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

DCCF

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

AdaGCL

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

FlashST

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

GraphPro

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

AutoCF

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

GraphST

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

PromptMM

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

SelfGNN

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

STExplainer

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

DiffMM

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

CL4ST

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

GraphAug

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

HKUDS