Papers with Code 아카이브
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/iieir-km/ComplEx-NNE_AER
공식 코드Improving Knowledge Graph Embedding Using Simple Constraints
https://github.com/iieir-km/RUGE
공식 코드Knowledge Graph Embedding with Iterative Guidance from Soft Rules
https://github.com/iiot-tbb/dialogue_dde
공식 코드PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
https://github.com/ilyatyagin/dyport
공식 코드Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique
https://github.com/imethanlee/knowphish
공식 코드https://github.com/immortals88/demo-sea
공식 코드https://github.com/informagi/embert
공식 코드https://github.com/intellabs/nlp-architect
공식 코드Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs
https://github.com/iodike/chronokge
공식 코드Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations
https://github.com/ionutiga/llms-for-kgc
공식 코드https://github.com/iqvianlp/ontologyrag
공식 코드https://github.com/ireklos/pathe
공식 코드PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
https://github.com/irenezihuili/cgprompt
공식 코드https://github.com/irenezihuili/graphusion
공식 코드Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective
https://github.com/irokin/GPFL
공식 코드Towards Learning Instantiated Logical Rules from Knowledge Graphs
https://github.com/irokin/RuleHierarchy
공식 코드Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs
https://github.com/ivanDonadello/semantic-PASCAL-Part
공식 코드https://github.com/jadexin/cyctea
공식 코드Ensemble Semi-supervised Entity Alignment via Cycle-teaching
https://github.com/jadexin/imea
공식 코드https://github.com/janothan/bk-strategy-vs-data-supplements
공식 코드https://github.com/jayachaturvedi/pain_in_mental_health
공식 코드https://github.com/jaysaligia/ppt
공식 코드Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
https://github.com/jd-coderepos/bioassays-ie
공식 코드The Digitalization of Bioassays in the Open Research Knowledge Graph
https://github.com/jean-kouagou/enhancedrulelearning
공식 코드https://github.com/jeffchy/combo
공식 코드https://github.com/jeffhj/deer
공식 코드DEER: Descriptive Knowledge Graph for Explaining Entity Relationships
https://github.com/jhsohn11/hypervc
공식 코드https://github.com/jiaangl/randomquantization
공식 코드Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
https://github.com/jiaangl/report
공식 코드Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers
https://github.com/jianhaochen-nju/patecon
공식 코드https://github.com/jianhaochen-nju/tsdre
공식 코드Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction
https://github.com/jiapuwang/awesome-tkgc
공식 코드A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
https://github.com/jiho283/FactKG
공식 코드https://github.com/jiho283/kg-gpt
공식 코드KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
https://github.com/jiyaowei/lp_nkgs
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.