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Knowledge Graphs

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하위 태스크: 4
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://github.com/kynewang/prolink

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LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs

https://github.com/lab-v2/pyreason

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PyReason: Software for Open World Temporal Logic

https://github.com/lamm-mit/PRefLexOR

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In-situ graph reasoning and knowledge expansion using Graph-PReFLexOR

https://github.com/lamm-mit/SciAgentsDiscovery

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SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

https://github.com/lamm-mit/graphreasoning

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Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning

https://github.com/lanjiuqing64/kgdata

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ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs

https://github.com/lanl/t-elf

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Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization

https://github.com/laowangzi/cikgrec

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Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models

https://github.com/laquabe/know3rag

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Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering

https://github.com/lars-research/adaprop

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AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning

https://github.com/lars-research/knowddi

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Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning

https://github.com/lavis-nlp/irt2

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IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale

https://github.com/lbauer6/IdentifyAlignIntegrate

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Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks

https://github.com/lcai2/lighttea

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An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation

https://github.com/lcai2/stea

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A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs

https://github.com/lcs2-iiitd/emnlp-coffee

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From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues

https://github.com/leapxcheng/rawnp

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Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach

https://github.com/lechengkong/oneforall

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One for All: Towards Training One Graph Model for All Classification Tasks

https://github.com/leduckhai/wav2graph

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wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech

https://github.com/lehaifeng/T-GCN

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KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

https://github.com/lenkatetkova/knowledge-graphs-for-empirical-concept-retrieval

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Knowledge graphs for empirical concept retrieval

https://github.com/lhrlab/chatkbqa

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ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

https://github.com/lhrlab/hahe

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HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level

https://github.com/lhrlab/nqe

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NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs

https://github.com/liangke23/awesome-knowledge-graph-reasoning

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A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

https://github.com/liaopeiyuan/GAL

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Information Obfuscation of Graph Neural Networks

https://github.com/lihuiliullh/lgot

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Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs

https://github.com/lilv98/logicrec

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LogicRec: Recommendation with Users' Logical Requirements

https://github.com/liniallab/interfeat

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InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical Data

https://github.com/linxueyuanstdio/tflex

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TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

https://github.com/lirt1231/degreembed

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DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

https://github.com/lirt1231/kermit

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KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

https://github.com/lirt1231/mplr

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An original model for multi-target learning of logical rules for knowledge graph reasoning

https://github.com/liseda-lab/seek

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Explainable Representations for Relation Prediction in Knowledge Graphs

https://github.com/liseda-lab/truewalks

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Biomedical Knowledge Graph Embeddings with Negative Statements

https://github.com/littleflow3r/kg-structure-as-prompt

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Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery

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