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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/LeapLabTHU/diver-ct

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DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints

https://github.com/LemonNoel/ATransN

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An Adversarial Transfer Network for Knowledge Representation Learning

https://github.com/Li-Z-Q/DeepSolution

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DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking

https://github.com/LiGaoJi/MPLR

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

https://github.com/Libo1023/LEAP

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Large Language Models as Interpolated and Extrapolated Event Predictors

https://github.com/LinXueyuanStdio/EchoEA

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EchoEA: Echo Information between Entities and Relations for Entity Alignment

https://github.com/LivNLP/Relational-Walk-for-Knowledge-Graphs

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RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding

https://github.com/LiyingCheng95/EntityDescriptionGeneration

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ENT-DESC: Entity Description Generation by Exploring Knowledge Graph

https://github.com/LongchaoDa/SegmentAsYouWish

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Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images

https://github.com/LuciusLan/Visual-RAG

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Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries

https://github.com/Luffy03/UniBiomed

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UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation

https://github.com/METR/ai-rd-tasks

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RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

https://github.com/MI-911/warm-start-framework

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MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings

https://github.com/MIRALab-USTC/KG-TACT

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Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs

https://github.com/MIRALab-USTC/KGE-DURA

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Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

https://github.com/MIRALab-USTC/KGE-HAKE

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Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

https://github.com/MJinXiang/Reasoning-Table

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Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning

https://github.com/MLE-Dojo/MLE-Dojo

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MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering

https://github.com/MMMU-Benchmark/MMMU

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MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

https://github.com/MYC000801/SE-POPO

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Avoiding $\mathbf{exp(R_{max})}$ scaling in RLHF through Preference-based Exploration

https://github.com/MYVAE/Instruction-detection

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Defending against Indirect Prompt Injection by Instruction Detection

https://github.com/MaastrichtU-IDS/LMKBC-2023

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Expanding the Vocabulary of BERT for Knowledge Base Construction

https://github.com/MadryLab/platinum-benchmarks

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Do Large Language Model Benchmarks Test Reliability?

https://github.com/MaestroGraph/motive-rdf

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Finding Motifs in Knowledge Graphs using Compression

https://github.com/Mandar-Sharma/TCube

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TCube: Domain-Agnostic Neural Time-series Narration

https://github.com/MaoXinn/Dual-AMN

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Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining

https://github.com/MaoXinn/RREA

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Relational Reflection Entity Alignment

https://github.com/MarcoMeter/neroRL

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Playing Pokémon Red via Deep Reinforcement Learning

https://github.com/MartinBoeckling/KGRag

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Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks

https://github.com/MarwahAlaofi/SIGIR-23-SRP-UQV100-GPT-Query-Variants

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Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study

https://github.com/MatNLP/KEHRL

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KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning

https://github.com/Maxpa1n/gcplm-kgc

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Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints

https://github.com/Maysir/GEM-GCN

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Knowledge Embedding Based Graph Convolutional Network

https://github.com/MedHK23/MedViLaM

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MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation

https://github.com/Mehran-k/SimplE

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SimplE Embedding for Link Prediction in Knowledge Graphs

https://github.com/MichaelAzmy/ambiguous-dbwd

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Matching Entities Across Different Knowledge Graphs with Graph Embeddings

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