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Knowledge Graph Completion

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하위 태스크: 4
평가표: 7
보존된 평가 기록: 17

Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.

Source: One-Shot Relational Learning for Knowledge Graphs

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Jingkang50/OpenPSG

공식 코드

4D Panoptic Scene Graph Generation

https://github.com/JingruG/GATHER

공식 코드

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

공식 코드

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

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

공식 코드

Mitigating the Bias of Large Language Model Evaluation

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

공식 코드

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

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