Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/hsientzucheng/MKR.PyTorch
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
https://github.com/hubiodatalab/druggen
https://github.com/huggingface/amused
Muse: Text-To-Image Generation via Masked Generative Transformers
https://github.com/huggingface/open-muse
Muse: Text-To-Image Generation via Masked Generative Transformers
https://github.com/humanmllm/r1-omni
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning
https://github.com/hwwang55/KGCN
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
https://github.com/hwwang55/KGNN-LS
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/hyren/PathCon
https://github.com/hzli-ucas/StarGraph
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
https://github.com/hzy312/knowledge-r1
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
https://github.com/ibm-self-serve-assets/metagen-blended-rag
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-Tuning
https://github.com/icml2024357/hombasis-gnn
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/ictnlp/streamspeech
Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model
https://github.com/ieellee/ullsam
Unifying Segment Anything in Microscopy with Multimodal Large Language Model
https://github.com/illuin-tech/colpali
ColPali: Efficient Document Retrieval with Vision Language Models
https://github.com/illuin-tech/vidore-benchmark
ColPali: Efficient Document Retrieval with Vision Language Models
https://github.com/ilyagusev/ping_pong_bench
https://github.com/ilyagusev/rulm
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
https://github.com/inclusionai/aworld
RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism
https://github.com/inspire-group/RobustRAG
https://github.com/instructlab/instructlab
https://github.com/intelligent-internet/ii_verl
https://github.com/intelligent-machine-learning/glake
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management
https://github.com/jackaduma/Recurrent-LLM
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text
https://github.com/jackal-u/CSGOAPI
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
https://github.com/jacksonwuxs/usablexai_llm
Studying Large Language Model Generalization with Influence Functions
https://github.com/jaemuzzin/plagnn
https://github.com/jennyzhang0215/DGL-KGAT
https://github.com/jerermyyoung/AutoWeird
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/jhcircle/less-is-more
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
https://github.com/jiean001/models_m/tree/main/hake
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/jiean001/models_m/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/jimmylihui/OpenGenome
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
https://github.com/jimmylihui/genbench
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
https://github.com/jina-ai/thinkgpt
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.