Knowledge Graphs
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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/MurtyShikhar/KBI
Joint Matrix-Tensor Factorization for Knowledge Base Inference
https://github.com/NUS-HPC-AI-Lab/VideoSys
https://github.com/NVIDIA/NeMo-Skills
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
https://github.com/NamyongPark/EvoKG
https://github.com/OpenMOSS/AnyGPT
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
https://github.com/PAIR-code/llm-comparator
https://github.com/PKD667/political-alignement
https://github.com/PKU-YuanGroup/MoE-LLaVA
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
https://github.com/PaddlePaddle/PaddleRec/tree/master/models/match/kim
Personalized News Recommendation with Knowledge-aware Interactive Matching
https://github.com/Peter7Yao/RNM
Relation-Aware Neighborhood Matching Model for Entity Alignment
https://github.com/Phoenix1327/ML-ZSL
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
https://github.com/PierreSenellart/theoremkb
Extracting Definienda in Mathematical Scholarly Articles with Transformers
https://github.com/Pointcept/GPT4Point
https://github.com/QLaHPD/Dimension-Insensitive-Euclidean-Metric-
https://github.com/Qiyuan-Ge/PaintMind
Muse: Text-To-Image Generation via Masked Generative Transformers
https://github.com/QustKcz/relational-GCN
https://github.com/QwenLM/Qwen2.5-Omni
https://github.com/ROCm/flash-attention
Efficient Memory Management for Large Language Model Serving with PagedAttention
https://github.com/RUCAIBox/KGSF
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
https://github.com/RUCAIBox/R1-Searcher
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
https://github.com/RUCDM/KB4Rec
https://github.com/RUCDM/KB4Rec/tree/master/Projects/UPGAN
https://github.com/Resurgamm/AGP
https://github.com/RichardHGL/UPGAN
https://github.com/RikiyaT/LARA
Large language models can accurately predict searcher preferences
https://github.com/SSE-PT/SSE-PT
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
https://github.com/STIInnsbruck/kgs
Duplication Detection in Knowledge Graphs: Literature and Tools
https://github.com/SandraSchaftner/orkg_property_extraction_using_gpt-3.5
https://github.com/SejeongPark8354/MforDrugDev
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
https://github.com/ShubhamKumarNigam/NyayaAnumana-and-INLegalLlama
https://github.com/SmartDataAnalytics/PyKEEN
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
https://github.com/SparkZu/RadioLLM
https://github.com/Spracks/PackageHallucination
https://github.com/Stanford-AIMI/CheXagent
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
https://github.com/SteveTANTAN/PoG
Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.