Papers with Code 아카이브
Inductive knowledge graph completion
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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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.