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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/dice-group/dice-embeddings

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Kronecker Decomposition for Knowledge Graph Embeddings

https://github.com/dice-group/evolearner

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EvoLearner: Learning Description Logics with Evolutionary Algorithms

https://github.com/dice-group/hybridfc

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HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs

https://github.com/dice-group/learnalclengths

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Learning Concept Lengths Accelerates Concept Learning in ALC

https://github.com/dice-group/litcqd

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LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals

https://github.com/dice-group/neuralclassexpressionsynthesis

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Neural Class Expression Synthesis

https://github.com/dice-group/universal_embeddings

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Universal Knowledge Graph Embeddings

https://github.com/diegoemilio01/sparql-generation-with-entity-pre-trained-gpt-for-kg-question-answering

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SPARQL Generation with Entity Pre-trained GPT for KG Question Answering

https://github.com/dilab-kaist/erbench

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ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

https://github.com/diligmic/rcbm-neurips2024

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Relational Concept Bottleneck Models

https://github.com/discoveryanalyticscenter/enerex

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Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions

https://github.com/ditec-project/semantic-association-rule-learning

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Learning Semantic Association Rules from Internet of Things Data

https://github.com/dlut-lab-zmn/mtdm

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Temporal Knowledge Graph Reasoning Triggered by Memories

https://github.com/dodo47/SpikE

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SpikE: spike-based embeddings for multi-relational graph data

https://github.com/dodo47/cyberml

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An energy-based model for neuro-symbolic reasoning on knowledge graphs

https://github.com/drgrhm/exch_relational

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Equivariant Entity-Relationship Networks

https://github.com/duyguislakoglu/temt

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Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs

https://github.com/dwslab/jRDF2Vec

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RDF2Vec Light -- A Lightweight Approach for Knowledge Graph Embeddings

https://github.com/dyang67/GammaE

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GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs

https://github.com/edinburghnlp/spice

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Semantic Parsing for Conversational Question Answering over Knowledge Graphs

https://github.com/ekrxjwh2009/R2-KG

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R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs

https://github.com/elated-sawyer/WALL-E

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WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

https://github.com/ellenmellon/GraphSum

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Extracting Summary Knowledge Graphs from Long Documents

https://github.com/ellenzhuwang/VK_OOD

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Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis

https://github.com/ellenzhuwang/lakermap

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Contextualized Structural Self-supervised Learning for Ontology Matching

https://github.com/elsevier-ai-lab/bioblp

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BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs

https://github.com/endrikacupaj/CARTON

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Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs

https://github.com/endrikacupaj/LASAGNE

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Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks

https://github.com/endrikacupaj/VOGUE

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VOGUE: Answer Verbalization through Multi-Task Learning

https://github.com/endrikacupaj/praline

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Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs

https://github.com/epfl-ml4ed/courserec

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Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

https://github.com/erfanloghmani/myket-android-application-market-dataset

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TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

https://github.com/ericlbuehler/xlora

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X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design

https://github.com/ernlavr/multihal

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MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

https://github.com/evkg/evkg

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EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System

https://github.com/expertailab/textual-entailment-for-effective-triple-validation-in-object-prediction

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Textual Entailment for Effective Triple Validation in Object Prediction

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