Papers with Code 아카이브

Knowledge Graphs

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/dayanayuan/raa-kgc

공식 코드

Knowledge Graph Completion with Relation-Aware Anchor Enhancement

https://github.com/daynauth/elo_paper

공식 코드

Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat

https://github.com/dcdmllm/align2llava

공식 코드

Align$^2$LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation

https://github.com/dcdmllm/momentor

공식 코드

Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

https://github.com/dcdmllm/worldgpt

공식 코드

WorldGPT: Empowering LLM as Multimodal World Model

https://github.com/dchang56/snomed_kge

공식 코드

Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings

https://github.com/dcy0577/Text2BIM

공식 코드

Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework

https://github.com/ddrrnn123/casc-ai

공식 코드

CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell Segmentation

https://github.com/de-tum/gnce

공식 코드

Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks

https://github.com/de-tum/mperl

공식 코드

Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs

https://github.com/debayan/pnel

공식 코드

PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs

https://github.com/debayan/sigir2022-sparqlbaselines

공식 코드

Modern Baselines for SPARQL Semantic Parsing

https://github.com/debrup-61/mathsensei

공식 코드

MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning

https://github.com/decibrain-group/dsgbench

공식 코드

DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments

https://github.com/declare-lab/PromptDistill

공식 코드

PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference

https://github.com/declare-lab/dialog-HGAT

공식 코드

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

https://github.com/declare-lab/flacuna

공식 코드

Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning

https://github.com/declare-lab/trust-align

공식 코드

Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

https://github.com/deep-polyu/awesome-graphrag

공식 코드

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

https://github.com/deep-spin/lmt_hallucinations

공식 코드

Hallucinations in Large Multilingual Translation Models

https://github.com/deep-spin/tower-eval

공식 코드

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

https://github.com/deep-symbolic-mathematics/llm-sr

공식 코드

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

https://github.com/deepakn97/relationPrediction

공식 코드

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

https://github.com/deepgraphlearning/astarnet

공식 코드

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

https://github.com/deeplearnxmu/dmd

공식 코드

A Dual-Perspective Metaphor Detection Framework Using Large Language Models

https://github.com/deeplearnxmu/faithful-rag

공식 코드

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation

https://github.com/deeplearnxmu/kpg-setllm

공식 코드

One2set + Large Language Model: Best Partners for Keyphrase Generation

https://github.com/deepseek-ai/DeepSeek-Coder

공식 코드

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

https://github.com/deepseek-ai/deepseek-moe

공식 코드

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

https://github.com/deepseek-ai/deepseek-prover-v2

공식 코드

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

https://github.com/deepseek-ai/janus

공식 코드

JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation

https://github.com/deepsoftwareanalytics/llmcodinghallucination

공식 코드

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation

https://github.com/deepspeedai/deepspeed

공식 코드

Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences

https://github.com/delftcrowd/iui2025_convxai

공식 코드

Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant

https://github.com/dellixx/tkbc-lie

공식 코드

Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding

https://github.com/dellixx/transerr

공식 코드

TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.