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Knowledge Graphs

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하위 태스크: 5
평가표: 4
보존된 평가 기록: 19

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://bitbucket.org/sdumancic/embeddingsmeetilp

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A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning

https://github.com/0sidewalkenforcer0/HypeTKG

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Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs

https://github.com/0x14d/embedding-operator-knowledge

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PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing

https://github.com/1173710224/link-prediction-with-rule-based-reasoning

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EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective

https://github.com/13998151318/nala

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NALA: an Effective and Interpretable Entity Alignment Method

https://github.com/3b-group/convre

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An Investigation of LLMs' Inefficacy in Understanding Converse Relations

https://github.com/763337092/LP-BERT

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Multi-task Pre-training Language Model for Semantic Network Completion

https://github.com/ABi-dot/Kedkg

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Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering

https://github.com/AI4WA/Docs2KG

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Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models

https://github.com/AKSW/KG2Vec

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Expeditious Generation of Knowledge Graph Embeddings

https://github.com/Accenture/AmpliGraph

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Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes

https://github.com/Adam1679/ConnectE

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Connecting Embeddings for Knowledge Graph Entity Typing

https://github.com/Aipura/LLM-ARK

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Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs

https://github.com/AkandaAshraf/VirtualSoc

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Simulation and Augmentation of Social Networks for Building Deep Learning Models

https://github.com/AlexandreChaussard/PLN-Tree

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Tree-based variational inference for Poisson log-normal models

https://github.com/AlfredClemedtson/graphraft

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GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases

https://github.com/AnselCmy/FedE

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FedE: Embedding Knowledge Graphs in Federated Setting

https://github.com/AnselCmy/MetaR

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Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

https://github.com/Antonio-Dee/tasi-testdata

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Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data

https://github.com/Applied-Machine-Learning-Lab/AMAR

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Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation

https://github.com/ArchitParnami/Node2KG

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Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks

https://github.com/AskNowQA/DeepShallowParsingQA

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Distantly Supervised Question Parsing

https://github.com/AskNowQA/EARL

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EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs

https://github.com/AskNowQA/KrantikariQA

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Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs

https://github.com/AskNowQA/VANiLLa

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VANiLLa : Verbalized Answers in Natural Language at Large Scale

https://github.com/Atomu2014/KNI

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An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

https://github.com/AutoML-4Paradigm/ERAS

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Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding

https://github.com/AuvaLab/itext2kg

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iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models

https://github.com/AwellmanZha/M2ConceptBase

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M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base

https://github.com/AynurGuluzade/DARLING

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Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records

https://github.com/BaranziniLab/KG_RAG

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Biomedical knowledge graph-optimized prompt generation for large language models

https://github.com/BatsResearch/nayak-arxiv20-code

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Zero-Shot Learning with Common Sense Knowledge Graphs

https://github.com/BatsResearch/zsl-kg

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Zero-Shot Learning with Common Sense Knowledge Graphs

https://github.com/BioMedicalBigDataMiningLab/TDRC

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Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations

https://github.com/BorealisAI/DE-SimplE

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Diachronic Embedding for Temporal Knowledge Graph Completion

https://github.com/BorealisAI/OOS-KGE

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Out-of-Sample Representation Learning for Multi-Relational Graphs

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