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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://github.com/nju-websoft/RSN

공식 코드

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs

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

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TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs

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

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Knowledge Graph Error Detection with Contrastive Confidence Adaption

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

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Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs

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

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Deep Active Alignment of Knowledge Graph Entities and Schemata

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

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Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion

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/nkai-decision-team/llm-pysc2

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LLM-PySC2: Starcraft II learning environment for Large Language Models

https://github.com/nkanak/brag-fake-news-campaigns

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Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance

https://github.com/nl2code/attentioncoder

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Improving Natural Language Capability of Code Large Language Model

https://github.com/nl4opt/nl4opt-competition

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NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions

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

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Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs

https://github.com/nlp-bin/silc-efsa

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SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis

https://github.com/nlp-rl/ki-ddi

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Towards Knowledge-Infused Automated Disease Diagnosis Assistant

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

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

https://github.com/nlp-uoregon/ullme

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ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning

https://github.com/nlp-waseda/comet-atomic-ja

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PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model

https://github.com/nlp2ct/hil-mt

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Human-in-the-loop Machine Translation with Large Language Model

https://github.com/nlpnorth/snakmodel

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SnakModel: Lessons Learned from Training an Open Danish Large Language Model

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/nolanoorg/spectrasuite

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Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at Scale

https://github.com/nomic-ai/contrastors

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Training Sparse Mixture Of Experts Text Embedding Models

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