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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/nju-websoft/daakg

공식 코드

Deep Active Alignment of Knowledge Graph Entities and Schemata

https://github.com/nju-websoft/epr-kgqa

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Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval

https://github.com/nju-websoft/eventea

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EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs

https://github.com/nju-websoft/exea

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Generating Explanations to Understand and Repair Embedding-based Entity Alignment

https://github.com/nju-websoft/kire

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Enhancing Document-level Relation Extraction by Entity Knowledge Injection

https://github.com/nju-websoft/knowla

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KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation

https://github.com/nju-websoft/lkge

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Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs

https://github.com/nju-websoft/mbe

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Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities

https://github.com/nju-websoft/mmrag

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mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs

https://github.com/nju-websoft/mstar

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Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation

https://github.com/nju-websoft/mukg

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$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications

https://github.com/nju-websoft/mukge

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Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs

https://github.com/nju-websoft/tkgc

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Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data

https://github.com/nju-websoft/unify-ea-sf

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What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings

https://github.com/nk-ruiying/tcompounde

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Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion

https://github.com/nle-ml/mmkb

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Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs

https://github.com/nlp-tlp/cleangraph

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CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion

https://github.com/nmerkle/sw_journal

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Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles

https://github.com/nnnoidea/stateful-KGQA

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Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language Models

https://github.com/nslab-cuk/connector

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Connector 0.5: A unified framework for graph representation learning

https://github.com/ntuddsnlab/srgcl

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Self-Reinforced Graph Contrastive Learning

https://github.com/ntunlp/kmlm

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Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples

https://github.com/ntwalker/graphwoz

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GraphWOZ: Dialogue Management with Conversational Knowledge Graphs

https://github.com/oliver-lloyd/kge_param_sens

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Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality

https://github.com/openbgbenchmark/openbg

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Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph

https://github.com/openspg/kag

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KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation

https://github.com/orcax/CAFE

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CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

https://github.com/orcax/LOGER

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Faithfully Explainable Recommendation via Neural Logic Reasoning

https://github.com/orcax/PGPR

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Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

https://github.com/oreozhao/tea

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From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment

https://github.com/osome-iu/Rematch-RARE

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Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity

https://github.com/osu-nlp-group/cosmo

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Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs

https://github.com/osu-nlp-group/hipporag

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HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

https://github.com/otamio/kga

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Augmenting Knowledge Graphs for Better Link Prediction

https://github.com/owenonline/knowledge-graph-reasoning-with-self-supervised-reinforcement-learning

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Knowledge Graph Reasoning with Self-supervised Reinforcement Learning

https://github.com/ozzyou/rp-fem

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Relational Prior Knowledge Graphs for Detection and Instance Segmentation

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