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/ntunlp/kmlm
공식 코드Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
https://github.com/ntwalker/graphwoz
공식 코드GraphWOZ: Dialogue Management with Conversational Knowledge Graphs
https://github.com/nustm/cpnc
공식 코드Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering
https://github.com/oliver-lloyd/kge_param_sens
공식 코드Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality
https://github.com/onixhoque/sptransx-mlsys2025-reproduce
공식 코드https://github.com/openbgbenchmark/openbg
공식 코드Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph
https://github.com/openspg/kag
공식 코드KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
https://github.com/orcax/CAFE
공식 코드CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
https://github.com/orcax/LOGER
공식 코드Faithfully Explainable Recommendation via Neural Logic Reasoning
https://github.com/orcax/PGPR
공식 코드Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
https://github.com/oreozhao/cmr
공식 코드https://github.com/oreozhao/mose4mkgc
공식 코드MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
https://github.com/oreozhao/tea
공식 코드From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
https://github.com/osome-iu/Rematch-RARE
공식 코드https://github.com/osu-nlp-group/cosmo
공식 코드https://github.com/osu-nlp-group/hipporag
공식 코드HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
https://github.com/otamio/kga
공식 코드https://github.com/owenonline/knowledge-graph-reasoning-with-self-supervised-reinforcement-learning
공식 코드Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
https://github.com/ozzyou/rp-fem
공식 코드Relational Prior Knowledge Graphs for Detection and Instance Segmentation
https://github.com/parajain/dynamic_context
공식 코드Conversational Semantic Parsing using Dynamic Context Graphs
https://github.com/paramita08/wikidata_auditlp
공식 코드Social Biases in Knowledge Representations of Wikidata separates Global North from Global South
https://github.com/paramita08/wikidata_bias_websci_2023
공식 코드Diversity matters: Robustness of bias measurements in Wikidata
https://github.com/pascalson/diffkg-dialog
공식 코드Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
https://github.com/pat-jj/Retrieval-And-Structure
공식 코드RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
https://github.com/pat-jj/ras
공식 코드RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
https://github.com/pat-jj/tagreal
공식 코드Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
https://github.com/pbaghershahi/TGCN
공식 코드Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
https://github.com/pengyanhui/LineaRE
공식 코드LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
https://github.com/pengyu-zhang/tiger-temporally-improved-graph-entity-linker
공식 코드https://github.com/perubhardwaj/attributionattack
공식 코드Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
https://github.com/perubhardwaj/inferenceattack
공식 코드Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
https://github.com/peterwestai2/symbolic-knowledge-distillation
공식 코드Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
https://github.com/peyman-bi/sattle
공식 코드Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
https://github.com/pgraphrag-benchmark/pgr-llm
공식 코드Personalized Graph-Based Retrieval for Large Language Models
https://github.com/pharmolix/openbiomed
공식 코드Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.