https://github.com/mu-data-science/gaf
공식 코드A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 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/muguruzawang/kgsum
공식 코드Multi-Document Scientific Summarization from a Knowledge Graph-Centric View
https://github.com/mutiann/ccc
공식 코드On the Role of Conceptualization in Commonsense Knowledge Graph Construction
https://github.com/n28div/llm-disjointness
공식 코드Enriching Ontologies with Disjointness Axioms using Large Language Models
https://github.com/nasrinkalanat/skg-sym
공식 코드https://github.com/navidmdn/logic_based_qa
공식 코드https://github.com/nddsg/KGMiner
공식 코드Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs
https://github.com/nec-research/emu-kg
공식 코드Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
https://github.com/nec-research/fact-linking
공식 코드https://github.com/nec-research/recurrency_baseline_tkg
공식 코드History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
https://github.com/nets4geeks/dockercomposedataset
공식 코드https://github.com/ngl567/GANA-FewShotKGC
공식 코드https://github.com/ngl567/cake
공식 코드CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
https://github.com/ngl567/dhns
공식 코드Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
https://github.com/nheist/Cat2Ax
공식 코드https://github.com/nheist/caligraph-for-semrec
공식 코드https://github.com/nicolas-hbt/benchmark-sematk
공식 코드Sem@$K$: Is my knowledge graph embedding model semantic-aware?
https://github.com/nicolas-hbt/pygraft
공식 코드PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
https://github.com/nicolas-hbt/semantic-lossfunc
공식 코드https://github.com/ninecl/dekg-ilp
공식 코드Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction
https://github.com/ninibymilk/pmf-mmea
공식 코드Progressively Modality Freezing for Multi-Modal Entity Alignment
https://github.com/niraj17singh/linklogic
공식 코드LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions
https://github.com/niteshroyal/solvinghardanalogyquestions
공식 코드Solving Hard Analogy Questions with Relation Embedding Chains
https://github.com/nju-websoft/AliNet
공식 코드Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
https://github.com/nju-websoft/CR2
공식 코드Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
https://github.com/nju-websoft/DeepLENS
공식 코드https://github.com/nju-websoft/HyperKA
공식 코드Knowledge Association with Hyperbolic Knowledge Graph Embeddings
https://github.com/nju-websoft/KG-ICL
공식 코드A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
https://github.com/nju-websoft/KG2RAG
공식 코드https://github.com/nju-websoft/MultiKE
공식 코드https://github.com/nju-websoft/OpenEA
공식 코드A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
https://github.com/nju-websoft/RGRec
공식 코드https://github.com/nju-websoft/RSN
공식 코드Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
https://github.com/nju-websoft/TransEdge
공식 코드TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
https://github.com/nju-websoft/cca
공식 코드Knowledge Graph Error Detection with Contrastive Confidence Adaption
https://github.com/nju-websoft/contea
공식 코드Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.