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Liu Junrui's starred repositories

ReviewGraph

[SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation

Language:PythonApache-2.02200

Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.

Language:C++Apache-2.033100

SwanLab

⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，跟踪与可视化你的机器学习全流程

Language:PythonApache-2.026500

LLaMA-Factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Language:PythonApache-2.02810900

HINormer

Language:Python2800

ACOS

The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".

Language:Python18900

VU_Thesis_Aspect_Extraction_Category_Detection

Code for my VU - text mining master's thesis comparing contrasting approaches to Aspect Extraction and Aspect Category Detection as defined in SemEval 2014 - Task 4

Language:Jupyter Notebook600

LDF

[Findings of EMNLP 2022] Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection

Language:PythonApache-2.0900

multi-view-prompting

Repo for "MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction" [ACL'2023]

Language:PythonMIT6500

Position-Aware-Tagging-for-ASTE

Code and models for the paper " Position-Aware Tagging for Aspect Sentiment Triplet Extraction", EMNLP 2020.

Language:Python8300

latent-aspect-detection

Code and models for the paper "Latent Aspect Detection from Online Unsolicited Customer Reviews"

Language:Python1200

SAT

Official Pytorch code for Structure-Aware Transformer.

Language:PythonBSD-3-Clause23100

Graph-Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

Language:PythonApache-2.063700

GFMPapers

Must-read papers on graph foundation models (GFMs)

MIT23300

Sentires

Sentires: A Toolkit for Phrase-level Sentiment Analysis

5000

recommenders

Best Practices on Recommendation Systems

Language:PythonMIT1853300

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

Language:Jupyter NotebookMIT402600

disentangled_graph_collaborative_filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

Language:Python13200

MA-GNNs

Language:Python100

ReChorus

“Chorus” of recommendation models: a PyTorch framework for Top-K recommendation with implicit feedback.

Language:PythonMIT3600

GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

92900

GNN-in-RS

26900

CNKI-download

:frog: 知网(CNKI)文献下载及文献速览爬虫

Language:PythonMIT50200

RecQ

RecQ: A Python Framework for Recommender Systems

Language:PythonGPL-3.0500

CARP

The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216

Language:Python5100

EMCGCN-ASTE

Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction

Language:PythonApache-2.04700

Span-ASTE

Code Implementation of "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".

Language:Jupyter NotebookMIT16400

SDRN

Source code of the paper "Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction, ACL 2020."