https://github.com/IBM/RuDaS
공식 코드RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/IBM/helm-enterprise-benchmark
공식 코드https://github.com/IBM/prompt-declaration-language
공식 코드https://github.com/IBM/retrieve-write-slot-filling
공식 코드https://github.com/IBM/wikicausal
공식 코드WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction
https://github.com/IDEA-Emdoor-Lab/UniTTS
공식 코드UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information
https://github.com/IDEA-FinAI/Simple-HHEA
공식 코드https://github.com/INDElab/rgvae
공식 코드Knowledge Generation -- Variational Bayes on Knowledge Graphs
https://github.com/INK-USC/CALM
공식 코드Pre-training Text-to-Text Transformers for Concept-centric Common Sense
https://github.com/INK-USC/DArtNet
공식 코드Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
https://github.com/INK-USC/HGN
공식 코드Learning Contextualized Knowledge Structures for Commonsense Reasoning
https://github.com/INK-USC/KagNet
공식 코드KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
https://github.com/INK-USC/MHGRN
공식 코드Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
https://github.com/INK-USC/RE-Net
공식 코드Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
https://github.com/INK-USC/SalKG
공식 코드SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
https://github.com/INK-USC/deceive-KG-models
공식 코드Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
https://github.com/ISU-PAAL/DeepDFA
공식 코드Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection
https://github.com/IanSteenstra/llm-alcohol-counselor
공식 코드Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing
https://github.com/IbrahimAlAzhar/FutureWorkGeneration
공식 코드FutureGen: LLM-RAG Approach to Generate the Future Work of Scientific Article
https://github.com/Ipazia-AI/latent-explorer
공식 코드Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph
https://github.com/JC230903/NLP-low-resource-pipeline-for-indian-languages/tree/main/pythonversion
공식 코드Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline
https://github.com/JD-AI-Research-Silicon-Valley/SACN
공식 코드End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
https://github.com/Jacob-Zhou/simple-csc
공식 코드A Training-free LLM-based Approach to General Chinese Character Error Correction
https://github.com/JasonForJoy/BRIEF
공식 코드BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression
https://github.com/JeanKaddour/WASAM
공식 코드https://github.com/Jeff20100601/GHNN_clean
공식 코드Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs
https://github.com/Jeffrey-Sardina/TWIG-I
공식 코드https://github.com/Jeffrey-Sardina/TWIG-TWM-dev
공식 코드https://github.com/JeongHun0716/MMS-LLaMA
공식 코드MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech Tokens
https://github.com/JerichoWorld/JerichoWorld
공식 코드https://github.com/JesseTNRoberts/Large-Language-Model-Recall-Uncertainty-is-Modulated-by-the-Fan-Effect
공식 코드Large Language Model Recall Uncertainty is Modulated by the Fan Effect
https://github.com/JetBrains-Research/git-good-bench
공식 코드GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git
https://github.com/JiapengWu/TeMP
공식 코드TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
https://github.com/JiapengWu/Time-Aware-Incremental-Embedding
공식 코드TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
https://github.com/JiaweiSheng/FAAN
공식 코드Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
https://github.com/Jie0618/PhysicsRegression
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.