https://github.com/hkust-knowcomp/query2particles
공식 코드Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
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/hkust-knowcomp/sessioncqa
공식 코드Understanding Inter-Session Intentions via Complex Logical Reasoning
https://github.com/hkust-knowcomp/sqe
공식 코드Sequential Query Encoding For Complex Query Answering on Knowledge Graphs
https://github.com/hkust-knowcomp/wfre
공식 코드https://github.com/hmthanh/GCAT
공식 코드Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
https://github.com/hotbento/kg4receval
공식 코드KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
https://github.com/hou27/recdap-fkgc
공식 코드https://github.com/hrishikeshrt/sangrahaka
공식 코드Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs
https://github.com/hse-cs/migtf
공식 코드Knowledge Graph Completion with Mixed Geometry Tensor Factorization
https://github.com/huda-hakami/learning-to-borrow-for-kgs
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/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/hyleepp/continue-kgc
공식 코드https://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/hzli-ucas/stargraph
공식 코드StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
https://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/iai-group/pkg-api
공식 코드https://github.com/iamryanshengwang/prometheus-chatbot
공식 코드https://github.com/ibalazevic/HypER
공식 코드https://github.com/ibalazevic/TuckER
공식 코드https://github.com/ibalazevic/multirelational-poincare
공식 코드https://github.com/ibm/digital-twin-benchmark-model
공식 코드https://github.com/ibm/hspo-ontology
공식 코드Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare
https://github.com/ibm/kgi-slot-filling
공식 코드Robust Retrieval Augmented Generation for Zero-shot Slot Filling
https://github.com/ibm/lprules
공식 코드https://github.com/ibm/otter-knowledge
공식 코드https://github.com/ibpa/kglm
공식 코드KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
https://github.com/icedpanda/COMPASS-official
공식 코드https://github.com/icedpanda/KERL
공식 코드https://github.com/ida-fbk/multimodalpattern
공식 코드A Pattern to Align Them All: Integrating Different Modalities to Define Multi-Modal Entities
https://github.com/idea-finai/tog
공식 코드Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.