marqu22

marqu22's Stars

• Code52/carnac

  A utility to give some insight into how you use your keyboard

  Language:C#4.2k68223508

• zjunlp/DeepKE

  [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

  Language:Python3.7k44581699

• HKUDS/GraphGPT

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

  Language:Python64778660

• THUwangcy/ReChorus

  “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

  Language:Python562144695

• gomate-community/GoMate

  GoMate：RAG Framework within Reliable input,Trusted output

  Language:Python55762551

• ucaslcl/Fox

  official code for "Fox: Focus Anywhere for Fine-grained Multi-page Document Understanding"

  Language:Python133748

• AIR-Bench/AIR-Bench

  AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark

  Language:Python11531310

• HKUDS/XRec

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

  Language:Python1093711

• chenchongthu/EHCF

  This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

  Language:Python10631728

• RUCAIBox/FMLP-Rec

  Language:Python944015

• westlake-repl/NineRec

  Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System

  Language:Python75136

• HKUDS/DCCF

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

  Language:Python584155

• HKUDS/SelfGNN

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

  Language:Jupyter Notebook47104

• weiwei1206/CML

  The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation

  Language:Python470016

• tsinghua-fib-lab/MBGCN

  Language:Python28161

• percent4/llm_open_triplet_extraction

  本项目使用大语言模型（LLM）进行开放领域三元组抽取。

  Language:Python23131

• Scofield666/MBSSL

  Language:Python23165

• akaxlh/MATN

  MATN, SIGIR 2020

  Language:Python21205

• FDUDSDE/WWW2023GroupRecBaselines

  Implementation of Representative Group Recommendation Models

  Language:Python15100

• HKUDS/RCL

  [Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"

  Language:Python15231

• akaxlh/GNMR

  GNMR, ICDE 2021

  Language:Python14137

• icmpnorequest/SIGIR2024_DCHL

  Official PyTorch implementation for our SIGIR'24 paper Disentangled Contrastive Hypergraph Learning for Next POI Recommendation

  Language:Python12233

• BlueGhostYi/BIGCF

  [SIGIR2024] BIGCF: Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering

  Language:Python11130

• wubinzzu/Multi-Behavior-Recommendation-Papers

  Multi-Behavior Recommendation-Papers

  11201

• otzslayer/torch-cdae

  Collaborative Denoising Auto-Encoder Implementation using PyTorch

  Language:Python8301

• Polaris-JZ/DDRM

  Language:Python8124

• icmpnorequest/ICASSP2024_ASTHL

  The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation

  Language:Python7211

• Wings236/POGCN

  Official code implementation of Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks

  Language:Python6111

• BlueGhostYi/DVGRL

  [TKDE24] Dual Variational Graph Reconstruction Learning for Social Recommendation

  Language:Python5100

• zhouxin615/NMTR_Method

  310