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Knowledge Graphs

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하위 태스크: 5
평가표: 4
보존된 평가 기록: 19

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AzusaXuan/AnnoDPO

공식 코드

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization

https://github.com/BUAADreamer/SPN4CIR

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Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

https://github.com/BZX667/DMPO

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Finetuning Large Language Model for Personalized Ranking

https://github.com/BaranziniLab/KG_RAG

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Biomedical knowledge graph-optimized prompt generation for large language models

https://github.com/BatsResearch/nayak-arxiv20-code

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Zero-Shot Learning with Common Sense Knowledge Graphs

https://github.com/BatsResearch/zsl-kg

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Zero-Shot Learning with Common Sense Knowledge Graphs

https://github.com/BillChan226/AgentPoison

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AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

https://github.com/BioMedicalBigDataMiningLab/TDRC

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Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations

https://github.com/BorealisAI/DE-SimplE

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Diachronic Embedding for Temporal Knowledge Graph Completion

https://github.com/BorealisAI/OOS-KGE

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Out-of-Sample Representation Learning for Multi-Relational Graphs

https://github.com/BriansIDP/video-SALMONN-o1

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video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model

https://github.com/ByungKwanLee/CoLLaVO

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CoLLaVO: Crayon Large Language and Vision mOdel

https://github.com/ByunghweeLee-IU/Belief-Embedding

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A semantic embedding space based on large language models for modelling human beliefs

https://github.com/CCIIPLab/KGTN

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Knowledge Enhanced Multi-intent Transformer Network for Recommendation

https://github.com/CLARIN-PL/PUGG

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Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction

https://github.com/CSJianYang/Multilingual-Multimodal-NLP/tree/main/MT4CrossOIE

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MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction

https://github.com/CatIIIIIIII/veriseek

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Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning

https://github.com/Cavendish518/LE-Nav

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Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation

https://github.com/Chandrahasd/OKGIT

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OKGIT: Open Knowledge Graph Link Prediction with Implicit Types

https://github.com/Chat-3D/Chat-3D

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Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes

https://github.com/ChengshuaiZhao0/SCALE

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SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention

https://github.com/ChenxiLiu-HNU/ST-LLM

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Spatial-Temporal Large Language Model for Traffic Prediction

https://github.com/China-UK-ZSL/ZS-F-VQA

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Zero-shot Visual Question Answering using Knowledge Graph

https://github.com/Comcast/llm-stability

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Non-Determinism of "Deterministic" LLM Settings

https://github.com/CompNet/conivel

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Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset

https://github.com/CunchaoZ/CyGNet

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Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

https://github.com/CyberAgentAILab/diverse-mbr

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Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding

https://github.com/DM1122/LLMSat

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LLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space Exploration

https://github.com/DM2-ND/MoKGE

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Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts

https://github.com/Dakantz/OnSET

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OnSET: Ontology and Semantic Exploration Toolkit

https://github.com/Daniel-Gong/ChatGPT_WM

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Working Memory Capacity of ChatGPT: An Empirical Study

https://github.com/DataScienceUIBK/Rankify

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

https://github.com/DeMix2023/Demix

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Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding

https://github.com/Deagogishvili/chapter-multi-task

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PatchProt: Hydrophobic patch prediction using protein foundation models

https://github.com/DeepGraphLearning/GNN-QE

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Neural-Symbolic Models for Logical Queries on Knowledge Graphs

https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding

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RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

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