https://github.com/wangpf3/LM-for-CommonsenseInference
공식 코드Do Language Models Perform Generalizable Commonsense Inference?
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/wangsygit/inductivelr
공식 코드Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs
https://github.com/wangxinyilinda/lm_random_walk
공식 코드https://github.com/webis-de/waka
공식 코드https://github.com/weichen3690/cogntke
공식 코드CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
https://github.com/weiyanbin1999/kicgpt
공식 코드KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
https://github.com/weiyifan1023/senator
공식 코드Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs
https://github.com/wengsyx/lingyi
공식 코드LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
https://github.com/wenqian-zhang/kcd
공식 코드KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media
https://github.com/wentao-xu/kge-cl
공식 코드KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
https://github.com/wglab/reversal_curse
공식 코드https://github.com/whu-zqh/kgan
공식 코드https://github.com/william-vw/elkg
공식 코드https://github.com/williamleif/graphqembed
공식 코드https://github.com/williamliujl/Qilin-Med
공식 코드Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model
https://github.com/windylee0822/trea
공식 코드TREA: Tree-Structure Reasoning Schema for Conversational Recommendation
https://github.com/wisdommllab/herln
공식 코드https://github.com/wjk666/disenkgat
공식 코드DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
https://github.com/wondercs1213/uniea
공식 코드Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning
https://github.com/wwxu21/AMR-SG
공식 코드https://github.com/wyl-willing/MindMap
공식 코드MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
https://github.com/wyy-code/TFP
공식 코드Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding
https://github.com/wyy-code/desalign
공식 코드Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment
https://github.com/wyy-code/pipea
공식 코드Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
https://github.com/wzh-nlp/ookg
공식 코드Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
https://github.com/xiangwang1223/knowledge_graph_attention_network
공식 코드https://github.com/xiaohui-victor-li/FinDKG
공식 코드https://github.com/xiaoiker/Awesome-Hyperbolic-NeuralNetworks
공식 코드https://github.com/xiaojuantang/rule
공식 코드https://github.com/xiaomingaaa/biokdn
공식 코드Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
https://github.com/xiaomingaaa/sdn
공식 코드S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
https://github.com/xiaoqian19940510/moalign
공식 코드Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
https://github.com/xiefeng69/gaea
공식 코드Improving Knowledge Graph Entity Alignment with Graph Augmentation
https://github.com/xincanfeng/ss_kge
공식 코드https://github.com/xingdi-eric-yuan/GATA-public
공식 코드Learning Dynamic Belief Graphs to Generalize on Text-Based Games
https://github.com/xingdi-eric-yuan/imrc_graph_public
공식 코드Interactive Machine Comprehension with Dynamic Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.