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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/towhidabsar/communityneeds

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Community Needs and Assets: A Computational Analysis of Community Conversations

https://github.com/tpekarekrosin/uhh_ub_ageawarehri

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A Framework for Adapting Human-Robot Interaction to Diverse User Groups

https://github.com/tqfang/complex-commonsense-reasoning

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Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs

https://github.com/trae1oung/dyprag

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Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

https://github.com/traffic-alpha/illm-tsc

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iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement

https://github.com/traffic-alpha/llm-assisted-light

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LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments

https://github.com/tranhungnghiep/AnalyzeKGE

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Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective

https://github.com/tranhungnghiep/KG20C

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Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space

https://github.com/tranhungnghiep/MEI-KGE

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Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion

https://github.com/tranhungnghiep/meim-kge

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MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction

https://github.com/travis-xu/TR-Feedback

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Enhancing Tool Retrieval with Iterative Feedback from Large Language Models

https://github.com/tree-jhk/reckg

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RecKG: Knowledge Graph for Recommender Systems

https://github.com/treeai-lab/awesome-kv-cache-management

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A Survey on Large Language Model Acceleration based on KV Cache Management

https://github.com/trishullab/LibraryAugmentedSymbolicRegression.jl

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Symbolic Regression with a Learned Concept Library

https://github.com/trishullab/copra

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An In-Context Learning Agent for Formal Theorem-Proving

https://github.com/trustedllm/llmdet

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LLMDet: A Third Party Large Language Models Generated Text Detection Tool

https://github.com/trustworthy-ml-lab/cb-llms

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Concept Bottleneck Large Language Models

https://github.com/truthai-lab/soradetector

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Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models

https://github.com/tsafavi/cascader

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CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction

https://github.com/tsafavi/codex

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CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

https://github.com/tsinghua-dhy/edc-2-rag

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Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation

https://github.com/tsinghua-fib-lab/acl24-econagent

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EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities

https://github.com/tsinghua-fib-lab/agentmove

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AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework

https://github.com/tsinghua-fib-lab/agentsocietychallenge

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AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms

https://github.com/tsinghua-fib-lab/agentstealth

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AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text

https://github.com/tsinghua-fib-lab/citybench

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CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

https://github.com/tsinghua-fib-lab/limp

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LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction

https://github.com/tsinghua-fib-lab/llm-agent-for-recommendation-and-search

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A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval

https://github.com/tsinghua-fib-lab/trajagent

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TrajAgent: An Agent Framework for Unified Trajectory Modelling

https://github.com/tsinghuac3i/crash

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CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model

https://github.com/tsukushiai/self-organized-agent

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Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

https://github.com/tsynbio/autope

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AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering

https://github.com/tsynbio/proteinlmdataset

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A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding

https://github.com/ttrouill/complex

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Knowledge Graph Completion via Complex Tensor Factorization

https://github.com/ttrouill/induction_experiments

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On Inductive Abilities of Latent Factor Models for Relational Learning

https://github.com/ttttttris/flat-llm

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FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression

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