laowangzi's Stars
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
westlake-repl/IDvs.MoRec
End-to-end Training for Multimodal Recommendation Systems
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
DavidZWZ/LightGODE
[CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
TamSiuhin/LLM-UM-Reading
A list of large language models for user modeling (LLM-UM) papers.
SpellcraftAI/oaib
Use the OpenAI Batch tool to make async batch requests to the OpenAI API.
CZT0/StableOpenAI
StableOpenai is an enhanced framework for OpenAI, providing stable and efficient API request management. It allows the use of multiple API keys to increase request limits and ensures thread safety. The library features multi-key management, thread-safe operations for reliable requests.
tpietruszka/rate_limited
Efficient parallel utilization of slow, rate-limited APIs - like those of Large Language Models
cozodb/openai-multi-client
Making your requests to the OpenAI API go fast!
CZT0/OpenAI-Parallel-Toolkit
OpenAI-Parallel-Toolkit is a Python library for handling multiple OpenAI API keys and parallel tasks. It provides API key rotation, multithreading for faster task execution, and utility functions to boost your OpenAI integration. Ideal for efficient large-scale OpenAI usage.
THUDM/GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
nancheng58/Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
wangshusen/RecommenderSystem
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
mklimasz/TransE-PyTorch
Implementation of TransE model in PyTorch.
statisticianinstilettos/recmetrics
A library of metrics for evaluating recommender systems
zjukg/KoPA
[Paper][ACM MM 2024] Making Large Language Models Perform Better in Knowledge Graph Completion
fajieyuan/cross-domain-recommendation
cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets
claws-lab/awesome-GNN-social-recsys
ahmetbersoz/chatgpt-prompts-for-academic-writing
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
yimutianyang/HGSR
Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation
Coder-Yu/SELFRec
An open-source framework for self-supervised recommender systems.
fajieyuan/universal_user_representation
papers of universal user representation learning for recommendation
DENG-JW/AugCOLD
Enhancing Offensive Language Detection with Data Augmentation and Knowledge Distillation
bojone/papers.cool
Cool Papers - Immersive Paper Discovery
tsinghua-fib-lab/Graph-Denoising-SocialRec
The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)
zzoxi/GLSCL
westlake-repl/MicroLens
A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).
anonymous-ninerec/NineRec
budzianowski/PyTorch-Beam-Search-Decoding
PyTorch implementation of beam search decoding for seq2seq models