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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/lgalke/easy2deeplearn

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What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure

https://github.com/lhrlab/chatkbqa

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ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

https://github.com/lhrlab/hahe

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HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level

https://github.com/lhrlab/nqe

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NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs

https://github.com/li-hyn/llm_catastrophicforgetting

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Revisiting Catastrophic Forgetting in Large Language Model Tuning

https://github.com/li-z-q/structrag

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StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

https://github.com/li001029/Medical_LLM_ASR

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Searching for Best Practices in Medical Transcription with Large Language Model

https://github.com/liangke23/awesome-knowledge-graph-reasoning

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A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

https://github.com/lianjiatech/belle

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A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model

https://github.com/liano3/RAG-fairness

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The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation

https://github.com/lianshumin576/mloandmcts

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Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM

https://github.com/liaopeiyuan/GAL

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Information Obfuscation of Graph Neural Networks

https://github.com/lightblue-tech/aloftrag

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ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation

https://github.com/lihaoxin2020/summarization-based-document-ids-for-generative-retrieval

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Summarization-Based Document IDs for Generative Retrieval with Language Models

https://github.com/lihuiliullh/lgot

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Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs

https://github.com/lijiabei-7/leccr

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Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval

https://github.com/lijiazheng99/aera

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Distilling ChatGPT for Explainable Automated Student Answer Assessment

https://github.com/lijlansg/trafficgpt

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TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

https://github.com/likaiucas/obm

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Extracting polygonal footprints in off-nadir images with Segment Anything Model

https://github.com/lilv98/logicrec

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LogicRec: Recommendation with Users' Logical Requirements

https://github.com/limanwang/balancing-rigor-and-utility

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Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions

https://github.com/lin000001/Legilimens

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Legilimens: Practical and Unified Content Moderation for Large Language Model Services

https://github.com/linchen-65/restruct

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Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network

https://github.com/lindazeng979/llm-cmsa

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Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis

https://github.com/ling-cai/time2box

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Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes

https://github.com/liniallab/interfeat

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InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical Data

https://github.com/linkseed18612254945/finerob

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Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media

https://github.com/linxueyuanstdio/tflex

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TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

https://github.com/linxyhaha/atspeed

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Efficient Inference for Large Language Model-based Generative Recommendation

https://github.com/lion-zs/er

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ER: Equivariance Regularizer for Knowledge Graph Completion

https://github.com/lion-zs/gie

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Geometry Interaction Knowledge Graph Embeddings

https://github.com/liqs-v2/ctim-rover

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From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents

https://github.com/liqunma/fbi-llm

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FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation

https://github.com/lirt1231/degreembed

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DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

https://github.com/lirt1231/kermit

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KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

https://github.com/lirt1231/mplr

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

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