https://github.com/alibaba/EasyNLP
공식 코드DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding
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/alirezazareian/gbnet
공식 코드https://github.com/alishiba14/NCA-OSM-to-KGs
공식 코드Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
https://github.com/allenai/PathNet
공식 코드Exploiting Explicit Paths for Multi-hop Reading Comprehension
https://github.com/allenai/comet-atomic-2020
공식 코드COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
https://github.com/allenai/rainbow
공식 코드UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
https://github.com/allenai/semantic_fragments
공식 코드What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge
https://github.com/amal-gader/genic
공식 코드GenIC: An LLM-Based Framework for Instance Completion in Knowledge Graphs
https://github.com/amayuelas/NNKGReasoning
공식 코드https://github.com/amazon-research/hyperbolic-embeddings
공식 코드Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
https://github.com/amazon-research/wikiwiki-dataset
공식 코드Instilling Type Knowledge in Language Models via Multi-Task QA
https://github.com/amazon-science/tree-of-traversals
공식 코드https://github.com/andreeaiana/nemig
공식 코드NeMig -- A Bilingual News Collection and Knowledge Graph about Migration
https://github.com/andreeaiana/rdf2vec-materialization
공식 코드https://github.com/anhtuan5696/TPAMTL
공식 코드Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
https://github.com/anjsimmo/signal-knowledge-graph
공식 코드https://github.com/ankush9812/aviation-question-answer-pairs
공식 코드https://github.com/ankush9812/knowledge-infusion-in-lm-for-qa
공식 코드https://github.com/anon809/efsum
공식 코드Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
https://github.com/anonym844/kg-diverse
공식 코드https://github.com/aorogat/CBench
공식 코드CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs
https://github.com/apoorvumang/CronKGQA
공식 코드https://github.com/apple/ml-kge
공식 코드Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs
https://github.com/applied-machine-learning-lab/mesh-tkgr
공식 코드https://github.com/arm-diaz/bio-germline-diseases-bert-ner
공식 코드https://github.com/armitakhn/gilbert
공식 코드https://github.com/arthurbra/citation-recommendation-kg
공식 코드Citation Recommendation for Research Papers via Knowledge Graphs
https://github.com/artificial-scientist-lab/impact4cast
공식 코드Forecasting high-impact research topics via machine learning on evolving knowledge graphs
https://github.com/artificial-scientist-lab/scimuse
공식 코드https://github.com/aryopg/biokge
공식 코드https://github.com/asadifar/HCqa
공식 코드HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge Graph
https://github.com/asahi417/relbert
공식 코드Distilling Relation Embeddings from Pre-trained Language Models
https://github.com/ascherp/semantic-web-primer
공식 코드https://github.com/asoulet/superficiality
공식 코드The Structure and Dynamics of Knowledge Graphs, with Superficiality
https://github.com/astrazeneca/awesome-drug-discovery-knowledge-graphs
공식 코드A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
https://github.com/astrazeneca/biomedical-kg-topological-imbalance
공식 코드Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.