Papers with Code 아카이브

Knowledge Graphs

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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://github.com/dellixx/transerr

공식 코드

TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation

https://github.com/deperiaskerre/qkg

공식 코드

Semantic Enrichment of the Quantum Cascade Laser Properties in Text- A Knowledge Graph Generation Approach

https://github.com/dersuchendee/knowledge-augmented-generation

공식 코드

Enhancing multimodal analogical reasoning with Logic Augmented Generation

https://github.com/dfdazac/blp

공식 코드

Inductive Entity Representations from Text via Link Prediction

https://github.com/dfdazac/mpqe

공식 코드

Message Passing Query Embedding

https://github.com/dice-group/Convolutional-Complex-Knowledge-Graph-Embeddings

공식 코드

Convolutional Complex Knowledge Graph Embeddings

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

공식 코드

Knowledge Graph Validation

https://github.com/dice-group/MST5

공식 코드

MST5 -- Multilingual Question Answering over Knowledge Graphs

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

공식 코드

No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph

https://github.com/dice-group/OOV-In-Link-Prediction

공식 코드

Out-of-Vocabulary Entities in Link Prediction

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

공식 코드

A Physical Embedding Model for Knowledge Graphs

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

공식 코드

A shallow neural model for relation prediction

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

공식 코드

Adaptive Stochastic Weight Averaging

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

공식 코드

Kronecker Decomposition for Knowledge Graph Embeddings

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

공식 코드

EvoLearner: Learning Description Logics with Evolutionary Algorithms

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

공식 코드

HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs

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

공식 코드

Learning Concept Lengths Accelerates Concept Learning in ALC

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

공식 코드

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

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

공식 코드

Neural Class Expression Synthesis

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

공식 코드

Universal Knowledge Graph Embeddings

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

공식 코드

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

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

공식 코드

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

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

공식 코드

Relational Concept Bottleneck Models

https://github.com/discoveryanalyticscenter/enerex

공식 코드

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

공식 코드

Learning Semantic Association Rules from Internet of Things Data

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

공식 코드

Temporal Knowledge Graph Reasoning Triggered by Memories

https://github.com/dodo47/SpikE

공식 코드

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

https://github.com/dodo47/cyberml

공식 코드

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

https://github.com/drgrhm/exch_relational

공식 코드

Equivariant Entity-Relationship Networks

https://github.com/duyguislakoglu/temt

공식 코드

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

https://github.com/dwslab/jRDF2Vec

공식 코드

RDF2Vec Light -- A Lightweight Approach for Knowledge Graph Embeddings

https://github.com/dyang67/GammaE

공식 코드

GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs

https://github.com/edinburghnlp/spice

공식 코드

Semantic Parsing for Conversational Question Answering over Knowledge Graphs

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

공식 코드

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

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

공식 코드

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

https://github.com/ellenmellon/GraphSum

공식 코드

Extracting Summary Knowledge Graphs from Long Documents

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.