Knowledge Graphs
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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/pedrocurvo/thetraitors
공식 코드The Traitors: Deception and Trust in Multi-Agent Language Model Simulations
https://github.com/peijiez/intentrec4maps
공식 코드Intention Recognition in Real-Time Interactive Navigation Maps
https://github.com/pengboci/graphrag-survey
공식 코드https://github.com/pengshuai-rin/multimath
공식 코드MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
https://github.com/pengxiao-song/lawgpt
공식 코드LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
https://github.com/pengyanhui/LineaRE
공식 코드LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
https://github.com/pengyu-zhang/tiger-temporally-improved-graph-entity-linker
공식 코드https://github.com/perceptioncomputinglab/medfilip
공식 코드https://github.com/personnoname/fgeodrl
공식 코드FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning
https://github.com/perubhardwaj/attributionattack
공식 코드Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
https://github.com/perubhardwaj/inferenceattack
공식 코드Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
https://github.com/petergriffinjin/search-r1
공식 코드Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
https://github.com/peterwestai2/symbolic-knowledge-distillation
공식 코드Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
https://github.com/petrosrapto/pakton
공식 코드PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements
https://github.com/peyman-bi/sattle
공식 코드Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
https://github.com/pgg3/L-AutoDA
공식 코드L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
https://github.com/pgraphrag-benchmark/pgr-llm
공식 코드Personalized Graph-Based Retrieval for Large Language Models
https://github.com/pharmolix/openbiomed
공식 코드Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
https://github.com/phellonchen/DMRM
공식 코드DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog
https://github.com/phelps-sg/llm-cooperation
공식 코드https://github.com/phil0212/sgc-net
공식 코드SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection
https://github.com/philipchung/llm-periop-prediction
공식 코드Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
https://github.com/philotron/CS-Scholarly-KG
공식 코드Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
https://github.com/philotron/bridge-kg
공식 코드Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs
https://github.com/photon-git/AlloyGAN
공식 코드Inverse Materials Design by Large Language Model-Assisted Generative Framework
https://github.com/phrara/kgmark
공식 코드https://github.com/phycholosogy/rag-privacy
공식 코드The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
https://github.com/picsart-ai-research/openbias
공식 코드OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
https://github.com/pievos101/cpath
공식 코드Explaining and visualizing black-box models through counterfactual paths
https://github.com/pilancilab/LLM-Lasso
공식 코드LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization
https://github.com/pilancilab/Randomized-Geometric-Algebra-Methods-for-Convex-Neural-Networks
공식 코드Randomized Geometric Algebra Methods for Convex Neural Networks
https://github.com/pioneer-innovation/zero-shot-object-navigation
공식 코드https://github.com/pipiku915/FinMem-LLM-StockTrading/blob/main/README.md
공식 코드FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
https://github.com/pipiku915/finmem-llm-stocktrading
공식 코드FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
https://github.com/pipilurj/g-llava
공식 코드G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.