Papers with Code 아카이브
Knowledge Graph Completion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 7
- 보존된 평가 기록
- 17
Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
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.