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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/Jingkang50/OpenPSG

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4D Panoptic Scene Graph Generation

https://github.com/JingruG/GATHER

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Open-Set Knowledge-Based Visual Question Answering with Inference Paths

https://github.com/Jingyu6/speculative_prefill

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Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation

https://github.com/JinheonBaek/GEN

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Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction

https://github.com/Joe-Hall-Lee/Debias

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Mitigating the Bias of Large Language Model Evaluation

https://github.com/Joe-Hall-Lee/PSN-IRT

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Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory

https://github.com/Joe-zsc/GAP

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Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement Learning

https://github.com/JoyDajunSpaceCraft/RAG-RLRC-LaySum

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RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts

https://github.com/Juanhui28/Are_MPNNs_helpful

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Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

https://github.com/Jumponthemoon/WeatherDG

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WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation

https://github.com/JumpyPizza/align-sentence-simplification-with-ESL-learner

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Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition

https://github.com/Jundifang/PsyLite

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PsyLite Technical Report

https://github.com/JunhengH/joie-kdd19

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Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts

https://github.com/KGQA/KGQA-datasets-generalization

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Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?

https://github.com/KKbeckang/LiGPT-Beta

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Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

https://github.com/KRLabsOrg/LettuceDetect

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LettuceDetect: A Hallucination Detection Framework for RAG Applications

https://github.com/KRR-Oxford/DeepOnto

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Contextual Semantic Embeddings for Ontology Subsumption Prediction

https://github.com/KRR-Oxford/OWL2Vec-Star

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OWL2Vec*: Embedding of OWL Ontologies

https://github.com/KaiyueSun98/T2V-CompBench

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T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation

https://github.com/Kaylee0501/X-MLClass

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Open-world Multi-label Text Classification with Extremely Weak Supervision

https://github.com/Knowledge-aware-AI/GPTKB

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Enabling LLM Knowledge Analysis via Extensive Materialization

https://github.com/KnowledgeCaptureAndDiscovery/OBA

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OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge Graphs

https://github.com/KokiKishimoto/cp_decomposition

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Binarized Knowledge Graph Embeddings

https://github.com/KokiKishimoto/cp_decomposition_alpha

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Binarized Knowledge Graph Embeddings

https://github.com/KordingLab/llm4teach-freetext-server

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A large language model-assisted education tool to provide feedback on open-ended responses

https://github.com/KotoHanon/LOCOCO

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Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration

https://github.com/LAMDA-RL/CoLA

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Controlling Large Language Model with Latent Actions

https://github.com/LC1332/Chat-Haruhi-Suzumiya

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ChatHaruhi: Reviving Anime Character in Reality via Large Language Model

https://github.com/LHRLAB/HyperGraphRAG

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HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation

https://github.com/LHY-24/KG-Compilation

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KGCompiler: Deep Learning Compilation Optimization for Knowledge Graph Complex Logical Query Answering

https://github.com/LINs-lab/M3

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Towards Robust Multi-Modal Reasoning via Model Selection

https://github.com/LL-a-VO/VLLaVO

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VLLaVO: Mitigating Visual Gap through LLMs

https://github.com/LLLQAQFFF/360REA

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360$^\circ$REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System

https://github.com/LLer0829/Measuring_Copyright_Risk_of_LLM

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Measuring Copyright Risks of Large Language Model via Partial Information Probing

https://github.com/Lancelot39/KGSF

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Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

https://github.com/Leanna97/TSINR

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TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection

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