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/huggingface/transformers/tree/master/examples/research_projects/rag-end2end-retriever
공식 코드Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering
https://github.com/hughvd/um-cai-fellowship
공식 코드From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries
https://github.com/huichizhou/trustrag
공식 코드https://github.com/huihuichyan/unlimitedjudge
공식 코드https://github.com/huiminzeng/gpt-fedrec
공식 코드Federated Recommendation via Hybrid Retrieval Augmented Generation
https://github.com/humanmllm/humanomniv2
공식 코드HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context
https://github.com/huntila/scholarly-kgqa
공식 코드Leveraging LLMs in Scholarly Knowledge Graph Question Answering
https://github.com/hurlab/vaccine-adjuvant-llm
공식 코드Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models
https://github.com/huskyinsalt/crag
공식 코드https://github.com/hwanchang00/CoPriva
공식 코드https://github.com/hwq0726/sdoh-kg
공식 코드https://github.com/hwq0726/sdohenpkg
공식 코드https://github.com/hwwang55/MKR
공식 코드Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
https://github.com/hwwang55/PathCon
공식 코드https://github.com/hwy9855/gsr
공식 코드Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
https://github.com/hxyscotthuang/cmpnn
공식 코드A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
https://github.com/hyc2026/StoryTeller
공식 코드StoryTeller: Improving Long Video Description through Global Audio-Visual Character Identification
https://github.com/hyeonjeongha/mm-poisonrag
공식 코드MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
https://github.com/hyleepp/continue-kgc
공식 코드https://github.com/hymie122/rag-survey
공식 코드Retrieval-Augmented Generation for AI-Generated Content: A Survey
https://github.com/hyren/query2box
공식 코드Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
https://github.com/hysonlab/biomedkg
공식 코드Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
https://github.com/hyu-nlp/hyper-cl
공식 코드Hyper-CL: Conditioning Sentence Representations with Hypernetworks
https://github.com/hzli-ucas/stargraph
공식 코드StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
https://github.com/i-eval/faireval
공식 코드https://github.com/i40-Tools/I40KG-Embeddings
공식 코드Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
https://github.com/iDEA-iSAIL-Lab-UIUC/APEX
공식 코드APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
https://github.com/iaar-shanghai/crud_rag
공식 코드https://github.com/iaar-shanghai/datg
공식 코드Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
https://github.com/iaar-shanghai/pgrag
공식 코드Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning
https://github.com/iaar-shanghai/saferag
공식 코드SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
https://github.com/iai-group/ginger-response-generation
공식 코드GINGER: Grounded Information Nugget-Based Generation of Responses
https://github.com/iai-group/pkg-api
공식 코드https://github.com/iamgmujtaba/scholar_search
공식 코드ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey
https://github.com/iamryanshengwang/prometheus-chatbot
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.