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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/juliagast/tgb2

공식 코드

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

https://github.com/juliagrosse/ults

공식 코드

Uncertainty-Guided Optimization on Large Language Model Search Trees

https://github.com/juliancodaforno/cogbench

공식 코드

CogBench: a large language model walks into a psychology lab

https://github.com/jumbo110/eurekha

공식 코드

EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums

https://github.com/junewang0614/colarec

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Content-Based Collaborative Generation for Recommender Systems

https://github.com/jungjee/augsumm

공식 코드

AugSumm: towards generalizable speech summarization using synthetic labels from large language model

https://github.com/junkangwu/DisenKGAT

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DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network

https://github.com/just-curieous/curie

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Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

https://github.com/justinhjy1004/fairuselegalbot

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Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use

https://github.com/justinlovelace/robust-kg-completion

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Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network

https://github.com/juyeonnn/kgmel

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KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking

https://github.com/jvladika/ContextRAG

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On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems

https://github.com/jwentong/wirelessagent_r1

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WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

https://github.com/jwh97nn/anyref

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Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception

https://github.com/jwoongkim11/qa-rag

공식 코드

From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process

https://github.com/jwzhanggy/Graph_Toolformer

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Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

https://github.com/jxtse/GEC-Metrics-DSGram

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DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models

https://github.com/jxuanc/mindgpt

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MindGPT: Interpreting What You See with Non-invasive Brain Recordings

https://github.com/jy0205/lavit

공식 코드

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

https://github.com/jyfang6/trace

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TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation

https://github.com/jyfenggogo/instructdet

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InstructDET: Diversifying Referring Object Detection with Generalized Instructions

https://github.com/jzk00/tv-sam

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TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation

https://github.com/k-rlange/t2snarrativechanges

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Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models

https://github.com/kabongosalomon/task-dataset-metric-nli-extraction

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Automated Mining of Leaderboards for Empirical AI Research

https://github.com/kadkhodaei-research-group/GScarceLLM

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Leveraging Large Language Models to Address Data Scarcity in Machine Learning: Applications in Graphene Synthesis

https://github.com/kaguraruri/psy-eval

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PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models

https://github.com/kaifronsdal/self-reasoning-evals

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MISR: Measuring Instrumental Self-Reasoning in Frontier Models

https://github.com/kaike-zhang/lorec

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LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks

https://github.com/kairong-han/causal_agent

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Causal Agent based on Large Language Model

https://github.com/kaistAI/Janus

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Aligning to Thousands of Preferences via System Message Generalization

https://github.com/kaistAI/Prometheus

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Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

https://github.com/kaistai/generative-context-distillation

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Generative Prompt Internalization

https://github.com/kaiyin97/crsisllm

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CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

https://github.com/kaiyuhe998/rulearn_idea

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IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction

https://github.com/kalifadan/GOProteinGNN

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GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning

https://github.com/kalmannet/adaptive-knet-icassp24

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Adaptive KalmanNet: Data-Driven Kalman Filter with Fast Adaptation

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