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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.

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PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms

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ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers

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Do Large Language Model Understand Multi-Intent Spoken Language ?

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LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

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Incorporating Literals into Knowledge Graph Embeddings

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Deploying Large Language Models With Retrieval Augmented Generation

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Squeezed Attention: Accelerating Long Context Length LLM Inference

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Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections

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Evaluating and Optimizing Educational Content with Large Language Model Judgments

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SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model

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AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning

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KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

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$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity

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Are Generative AI Agents Effective Personalized Financial Advisors?

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mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs

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DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving

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PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation

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TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

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GenSim: A General Social Simulation Platform with Large Language Model based Agents

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Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion

https://github.com/TaoMiner/joint-kg-recommender

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Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

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