✨Welcome to the Data Intelligence Lab @ HKU!✨
🚀 Our Lab is Passionately Dedicated to Exploring the Forefront of the Data Science & AI 👨💻
Name: ✨Data Intelligence Lab@HKU✨
Type: User
Company: University of Hong Kong
Bio: 👨💻 Welcome to the Data Intelligence Lab! We are a team of dedicated researchers who specialize Data Science at the University of Hong Kong 📚
Location: Hong Kong
[KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
[KDD'2024 Survey+Tutorial] "LLM4Graph: A Survey of Large Language Models for Graphs"
A Comprehensive Survey of Self-Supervised Learning for Recommendation
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
[WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
[ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"
[IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
"GraphEdit: Large Language Models for Graph Structure Learning"
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
[CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
[SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
"OpenGraph: Towards Open Graph Foundation Models"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.