woriazzc's Stars
XiaoxinHe/Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
tczhangzhi/pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
WLiK/LLM4Rec-Awesome-Papers
A list of awesome papers and resources of recommender system on large language model (LLM).
CHIANGEL/Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
Lionelsy/Conference-Accepted-Paper-List
Some Conferences' accepted paper lists (including AI, ML, Robotic)
RUCAIBox/Awesome-RSPapers
Recommender System Papers
jia-zhuang/pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理
PeterGriffinJin/Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey"
flyingdoog/awesome-graph-explainability-papers
Papers about explainability of GNNs
nancheng58/Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
yhLeeee/Awesome-LLMs-in-Graph-tasks
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
jihoo-kim/Awesome-Generative-RecSys
A curated list of Generative Recommender Systems (Paper & Code)
WxxShirley/Awesome-Graph-Prompt
Awesome Papers About Performing Prompting On Graphs
archersama/awesome-recommend-system-pretraining-papers
Paper List for Recommend-system PreTrained Models
mengliu1998/awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
HKUDS/RLMRec
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
KingGugu/Awesome-Contrastive-Learning-and-Data-Augmentation-RS-Paper-Code
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
THUMNLab/awesome-large-graph-model
Papers about large graph models.
PatrickZH/Awesome-Coreset-Selection
Awesome coreset/core-set/subset/sample selection works.
SitaoLuan/LLM4Graph
Oceanusity/awesome-gnns-on-large-scale-graphs
Emory-Melody/awesome-graph-reduction
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
ljy0ustc/LLaRA
antklen/sasrec-bert4rec-recsys23
Code for ACM RecSys 2023 paper "Turning Dross Into Gold Loss: Is BERT4Rec really better than SASRec?"
RangeKing/tuning_playbook_zh-CN
A playbook for systematically maximizing the performance of deep learning models.
huachzhou/APDA
woriazzc/Robust-PU
woriazzc/KDs