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/sushantgautam/factgenius
공식 코드https://github.com/sutaoyu/CDMEA
공식 코드Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
https://github.com/sutaoyu/IBMEA
공식 코드IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment
https://github.com/sutaoyu/LoginMEA
공식 코드LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment
https://github.com/svakulenk0/KBQA
공식 코드Message Passing for Complex Question Answering over Knowledge Graphs
https://github.com/svjan5/kg-reeval
공식 코드https://github.com/tamsiuhin/kracl
공식 코드KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
https://github.com/tanyuqian/knowledge-harvest-from-lms
공식 코드BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models
https://github.com/taokz/FedR
공식 코드https://github.com/tedzhouhk/sedyt
공식 코드https://github.com/temporalkgteam/tango
공식 코드https://github.com/tewiSong/Rot-Pro
공식 코드Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
https://github.com/tgebhart/sheaf_kg_transind
공식 코드Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational Inference
https://github.com/tgoldsack1/enhancing_biomedical_lay_summarisation_with_external_knowledge_graphs
공식 코드Enhancing Biomedical Lay Summarisation with External Knowledge Graphs
https://github.com/thescreamingmonkey/mbm-em
공식 코드Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs
https://github.com/thezjd/aspectmmkg
공식 코드AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities
https://github.com/thiviyant/intelligraphs
공식 코드IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
https://github.com/thu-coai/JointGT
공식 코드JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
https://github.com/thu-coai/KdConv
공식 코드KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
https://github.com/thunlp/CKRL
공식 코드Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence
https://github.com/thunlp/CokeBERT
공식 코드CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
https://github.com/thunlp/ConceptFlow
공식 코드Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
https://github.com/thunlp/ERNIE
공식 코드ERNIE: Enhanced Language Representation with Informative Entities
https://github.com/thunlp/EntityDuetNeuralRanking
공식 코드https://github.com/thunlp/Neural-Snowball
공식 코드https://github.com/thunlp/kacc
공식 코드KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
https://github.com/tianyao-aka/rapl
공식 코드Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
https://github.com/tigerwww-git/rt-kgd
공식 코드RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
https://github.com/tjtp/kdar
공식 코드https://github.com/tkipf/relational-gcn
공식 코드https://github.com/tmlr-group/one-shot-subgraph
공식 코드Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
https://github.com/tobias-opsahl/fact-or-fiction
공식 코드https://github.com/toneli/hnzslp
공식 코드A Hierarchical N-Gram Framework for Zero-Shot Link Prediction
https://github.com/tongzhou21/CogMG
공식 코드CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
https://github.com/tqfang/complex-commonsense-reasoning
공식 코드Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.