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/kutaytire/retrieval-augmented-time-series-forecasting

공식 코드

Retrieval Augmented Time Series Forecasting

https://github.com/kxinwang2023/enco

공식 코드

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning

https://github.com/kyle8581/Web-Shepherd

공식 코드

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents

https://github.com/kylrth/procedure-generation

공식 코드

Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A

https://github.com/kynewang/prolink

공식 코드

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs

https://github.com/kyutai-labs/moshi

공식 코드

Moshi: a speech-text foundation model for real-time dialogue

https://github.com/l8cv/busterx

공식 코드

BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation

https://github.com/lab-v2/chatgpt_mwp_eval

공식 코드

An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP)

https://github.com/lab-v2/diversity_measures

공식 코드

Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries

https://github.com/lab-v2/pyreason

공식 코드

PyReason: Software for Open World Temporal Logic

https://github.com/laihaoran/carzero

공식 코드

CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification

https://github.com/laiyuzhi/nvp-hri

공식 코드

NVP-HRI: Zero Shot Natural Voice and Posture-based Human-Robot Interaction via Large Language Model

https://github.com/lakeraai/dsec-gandalf

공식 코드

Gandalf the Red: Adaptive Security for LLMs

https://github.com/lamda-rl/imaginebench

공식 코드

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts

https://github.com/lamm-mit/PRefLexOR

공식 코드

In-situ graph reasoning and knowledge expansion using Graph-PReFLexOR

https://github.com/lamm-mit/SciAgentsDiscovery

공식 코드

SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

https://github.com/lamm-mit/graphreasoning

공식 코드

Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning

https://github.com/lamm-mit/lifegpt

공식 코드

LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata

https://github.com/lamm-mit/mechagents

공식 코드

MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge

https://github.com/lamm-mit/peptideminer

공식 코드

Learning the rules of peptide self-assembly through data mining with large language models

https://github.com/lamm-mit/protagents

공식 코드

ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning

https://github.com/lamp-benchmark/lamp

공식 코드

Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

https://github.com/lanjiuqing64/kgdata

공식 코드

ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs

https://github.com/lanl/t-elf

공식 코드

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning

https://github.com/lanyu0303/afl

공식 코드

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

https://github.com/lanzer-tree/ras-eval

공식 코드

Specification-based Security Evaluation of Real-World Agents Tool-Calling under Long-Horizon Context Tasks

https://github.com/lanzhang128/retrieval_augmented_autoformalization

공식 코드

Consistent Autoformalization for Constructing Mathematical Libraries

https://github.com/laowangzi/cikgrec

공식 코드

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models

https://github.com/laquabe/OneNet

공식 코드

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting

https://github.com/laquabe/know3rag

공식 코드

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering

https://github.com/lars-research/adaprop

공식 코드

AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning

https://github.com/lars-research/knowddi

공식 코드

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning

https://github.com/lautaroest/sucpa-convergence

공식 코드

On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning

https://github.com/lautel/meg

공식 코드

MEG: Medical Knowledge-Augmented Large Language Models for Question Answering

https://github.com/lava-lab/cool-mc

공식 코드

Enhancing RL Safety with Counterfactual LLM Reasoning

https://github.com/lavieenrose365/rella

공식 코드

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

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