https://github.com/mie-lab/ckg-traffic-forecasting
공식 코드Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 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/migalkin/NodePiece
공식 코드NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
https://github.com/migalkin/StarE
공식 코드https://github.com/migalkin/rwl
공식 코드https://github.com/mikegu721/agentgroupchat-v2
공식 코드AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need
https://github.com/mikelixiang88/context-matters
공식 코드https://github.com/mikelkn/woah-2025
공식 코드https://github.com/mileswyn/ich_mllms_validation
공식 코드https://github.com/milkmilk511/lapt
공식 코드Design Principle Transfer in Neural Architecture Search via Large Language Models
https://github.com/milvlg/prophet
공식 코드https://github.com/mims-harvard/Madrigal
공식 코드Multimodal AI predicts clinical outcomes of drug combinations from preclinical data
https://github.com/mims-harvard/ToolUniverse
공식 코드TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
https://github.com/mims-harvard/TxAgent
공식 코드TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
https://github.com/minaek/reward_design_with_llms
공식 코드https://github.com/mindverse/rag-tuned-llm
공식 코드https://github.com/ming-k9/mft
공식 코드https://github.com/mingchaoqi/skill_transfer
공식 코드https://github.com/mingyue-cheng/bingjian
공식 코드Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
https://github.com/mingyuj666/stockagent
공식 코드https://github.com/minhvuong2000/llmreasoncert
공식 코드Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs
https://github.com/mininglamp-mllm/hmllm
공식 코드https://github.com/minqi/wordcraft
공식 코드WordCraft: An Environment for Benchmarking Commonsense Agents
https://github.com/miralab-ustc/gcn4kgc
공식 코드Rethinking Graph Convolutional Networks in Knowledge Graph Completion
https://github.com/miralab-ustc/qe-cone
공식 코드ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
https://github.com/mirunabetianu/dallmi
공식 코드DALLMi: Domain Adaption for LLM-based Multi-label Classifier
https://github.com/mistyreed63849/graph-llm
공식 코드GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
https://github.com/mit-han-lab/omniserve
공식 코드QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
https://github.com/mit-han-lab/qserve
공식 코드QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
https://github.com/mit-ll/linkq
공식 코드LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering
https://github.com/mitmedialab/ai-false-memories
공식 코드Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
https://github.com/mitsuichen14/lrsclip
공식 코드LRSCLIP: A Vision-Language Foundation Model for Aligning Remote Sensing Image with Longer Text
https://github.com/miulab/kg-survey
공식 코드https://github.com/miulab/lmrec-survey
공식 코드Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
https://github.com/miulab/taiwan-llama
공식 코드Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model
https://github.com/miulab/taiwan-llm
공식 코드Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model
https://github.com/mj-storytelling/DiversityTuning
공식 코드Modifying Large Language Model Post-Training for Diverse Creative Writing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.