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Knowledge Graph Completion

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하위 태스크: 4
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: $(h, r, ?)$.

Source: One-Shot Relational Learning for Knowledge Graphs

코드

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

https://github.com/phil0212/sgc-net

공식 코드

SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection

https://github.com/philipchung/llm-periop-prediction

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Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication

https://github.com/photon-git/AlloyGAN

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Inverse Materials Design by Large Language Model-Assisted Generative Framework

https://github.com/phycholosogy/rag-privacy

공식 코드

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

https://github.com/picsart-ai-research/openbias

공식 코드

OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

https://github.com/pilancilab/LLM-Lasso

공식 코드

LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

https://github.com/pilancilab/Randomized-Geometric-Algebra-Methods-for-Convex-Neural-Networks

공식 코드

Randomized Geometric Algebra Methods for Convex Neural Networks

https://github.com/pipiku915/FinMem-LLM-StockTrading/blob/main/README.md

공식 코드

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

https://github.com/pipiku915/finmem-llm-stocktrading

공식 코드

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

https://github.com/pipilurj/g-llava

공식 코드

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

https://github.com/pipixin321/holmesvad

공식 코드

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

https://github.com/pjlab-songcomposer/songcomposer

공식 코드

SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition

https://github.com/pkargupta/epimine

공식 코드

Unsupervised Episode Detection for Large-Scale News Events

https://github.com/pku-dair/rag-survey

공식 코드

Retrieval-Augmented Generation for AI-Generated Content: A Survey

https://github.com/pku-huzhang/AdamS

공식 코드

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training

https://github.com/pku-rl/creative-agents

공식 코드

Creative Agents: Empowering Agents with Imagination for Creative Tasks

https://github.com/pku-sds-lab/poqd-icml25

공식 코드

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval

https://github.com/pku-yuangroup/chatlaw

공식 코드

Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model

https://github.com/pku-yuangroup/machine-mindset

공식 코드

Machine Mindset: An MBTI Exploration of Large Language Models

https://github.com/pkulcwmzx/knowledge-boundary

공식 코드

Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

https://github.com/pkunlp-icler/childtuning

공식 코드

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

https://github.com/pkunlp-icler/pca-eval

공식 코드

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond

https://github.com/pkusjh/lass

공식 코드

Joint Language Semantic and Structure Embedding for Knowledge Graph Completion

https://github.com/pkuyzy/cbgnn

공식 코드

Cycle Representation Learning for Inductive Relation Prediction

https://github.com/pladifes/climate_finance_bench

공식 코드

Climate Finance Bench

https://github.com/plageon/HtmlRAG

공식 코드

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

https://github.com/plan-lab/mtsbench

공식 코드

mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale

https://github.com/pldlgb/MetaSD

공식 코드

Self-Distillation with Meta Learning for Knowledge Graph Completion

https://github.com/pln-fing-udelar/payador

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PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games

https://github.com/plstory/ds2d

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DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design

https://github.com/plumdeq/neuro-kglink

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Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes

https://github.com/pnnl/chemreasoner

공식 코드

Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design

https://github.com/pnnl/projection_ntk

공식 코드

Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models

https://github.com/poloclub/llm-self-defense

공식 코드

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

https://github.com/poloclub/mememo

공식 코드

MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation

https://github.com/popcornell/ASRLightningFT

공식 코드

Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition

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