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/MaoXinn/Dual-AMN
공식 코드https://github.com/MaoXinn/RREA
공식 코드https://github.com/MatNLP/KEHRL
공식 코드KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning
https://github.com/Maxpa1n/gcplm-kgc
공식 코드Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
https://github.com/Maysir/GEM-GCN
공식 코드https://github.com/Mehran-k/SimplE
공식 코드https://github.com/MichaelAzmy/ambiguous-dbwd
공식 코드Matching Entities Across Different Knowledge Graphs with Graph Embeddings
https://github.com/MikulasZelinka/textworld_kg_dataset
공식 코드https://github.com/N00bsie/QueryReformulation
공식 코드Feature-based reformulation of entities in triple pattern queries
https://github.com/NAACL2018Anonymous/submission
공식 코드Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
https://github.com/NIVA-Knowledge-Graph/TERA
공식 코드Understanding Adverse Biological Effect Predictions Using Knowledge Graphs
https://github.com/NacyNiko/HGE
공식 코드HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
https://github.com/NicolasTe/osm2kg
공식 코드https://github.com/NikeHop/CSRL
공식 코드https://github.com/OpenBioLink/SAFRAN
공식 코드Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
https://github.com/OpenISS/kg-recommendation-framework
공식 코드Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy
https://github.com/PaddlePaddle/PGL
공식 코드Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
https://github.com/PaddlePaddle/PaddleHelix/tree/dev/apps/drug_target_interaction/sman
공식 코드Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction
https://github.com/PaddlePaddle/Research/tree/master/KG/ACL2021_GRAN
공식 코드Link Prediction on N-ary Relational Facts: A Graph-based Approach
https://github.com/PaddlePaddle/Research/tree/master/NLP/EMNLP2019-AKGCM
공식 코드Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
https://github.com/Panda0406/Zero-shot-knowledge-graph-relational-learning
공식 코드Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
https://github.com/PascalSun/TimelineKGQA
공식 코드TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs
https://github.com/Pascalson/DyKGChat
공식 코드DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
https://github.com/Peter7Yao/OPTransE
공식 코드Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
https://github.com/PhilippChr/CLOCQ
공식 코드https://github.com/PhilippChr/CONVEX
공식 코드https://github.com/PlusRoss/Hy-Transformer
공식 코드https://github.com/PrekshaNema25/Answerability-Metric
공식 코드Towards a Better Metric for Evaluating Question Generation Systems
https://github.com/PrzemyslawStok/ssakg
공식 코드Associative Knowledge Graphs for Efficient Sequence Storage and Retrieval
https://github.com/QingkaiZeng/GenTaxo
공식 코드Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
https://github.com/QipengGuo/CycleGT
공식 코드CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
https://github.com/Quadflor/quadflor
공식 코드Using Titles vs. Full-text as Source for Automated Semantic Document Annotation
https://github.com/RManLuo/CP-GNN
공식 코드Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
https://github.com/RManLuo/gfm-rag
공식 코드GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
https://github.com/RManLuo/graph-constrained-reasoning
공식 코드Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.