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/zhang-yingyi/lsrp

공식 코드

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration

https://github.com/zhang-yu-wei/clusterllm

공식 코드

ClusterLLM: Large Language Models as a Guide for Text Clustering

https://github.com/zhangbaijin/From-Redundancy-to-Relevance

공식 코드

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

https://github.com/zhangguiwei610/v2flow

공식 코드

V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation

https://github.com/zhangkuns/openmaskdino3d

공식 코드

OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language Model

https://github.com/zhangleye/Bridge-LLM-QA

공식 코드

Question answering system of bridge design specification based on large language model

https://github.com/zhangpingrui/adaptive-text-dreamer

공식 코드

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation

https://github.com/zhangrui4041/instruction_backdoor_attack

공식 코드

Instruction Backdoor Attacks Against Customized LLMs

https://github.com/zhangtia16/licap

공식 코드

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs

https://github.com/zhangzhengde0225/Xiwu

공식 코드

Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics

https://github.com/zhanyang-nwpu/skyeyegpt

공식 코드

SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model

https://github.com/zhao-ht/learnact

공식 코드

Empowering Large Language Model Agents through Action Learning

https://github.com/zhaoshuyuan0246/stkdrec

공식 코드

STKDRec: Spatial-Temporal Knowledge Distillation for Takeaway Recommendation

https://github.com/zhehuazhou/isr-llm

공식 코드

ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning

https://github.com/zhehuazhou/llm_reward_design

공식 코드

Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics

https://github.com/zhenchenwan/ted-viton

공식 코드

TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On

https://github.com/zhenjia2017/exaqt

공식 코드

Complex Temporal Question Answering on Knowledge Graphs

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

공식 코드

Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

https://github.com/zhenxianglance/medagent-cdr-agent

공식 코드

CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents

https://github.com/zhenxiong-dl/icassp2025-rcac

공식 코드

Enhancing Image Generation Fidelity via Progressive Prompts

https://github.com/zhenxuan-zhang/gema_score

공식 코드

GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report Evaluation

https://github.com/zhenzhiwang/intercontrol

공식 코드

InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

https://github.com/zhi-xuan-chen/reg2rg

공식 코드

Large Language Model with Region-guided Referring and Grounding for CT Report Generation

https://github.com/zhi520/nc-kge

공식 코드

Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction

https://github.com/zhichaoxu-shufe/constrained-qfs

공식 코드

A Lightweight Constrained Generation Alternative for Query-focused Summarization

https://github.com/zhichaoxu-shufe/context-aware-decoding-qfs

공식 코드

Context-aware Decoding Reduces Hallucination in Query-focused Summarization

https://github.com/zhilingluo/theorem_prover

공식 코드

Reinforced Large Language Model is a formal theorem prover

https://github.com/zhilingyan/gpt4v-medical-report

공식 코드

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

https://github.com/zhiqix/nl2gql

공식 코드

$R^3$-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL

https://github.com/zhiweihu1103/et-mclet

공식 코드

Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs

https://github.com/zhiweihu1103/et-tet

공식 코드

Transformer-based Entity Typing in Knowledge Graphs

https://github.com/zhiweihu1103/hkgc-hyperformer

공식 코드

HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion

https://github.com/zhiweihu1103/qe-temp

공식 코드

Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

https://github.com/zhixiangsu/apst

공식 코드

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

https://github.com/zhixiangsu/krst

공식 코드

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer

https://github.com/zhiyuanhubj/ugro-cimk23

공식 코드

Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System

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