https://github.com/nju-websoft/TransEdge
공식 코드TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Papers with Code 아카이브
Data Integration
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Data integration (also called information integration) is the process of consolidating data from a set of heterogeneous data sources into a single uniform data set (materialized integration) or view on the data (virtual integration). Data integration pipelines involve subtasks such as schema matching, table annotation, entity resolution, value normalization, data cleansing, and data fusion. Application domains of data integration include data warehousing, data lakes, and knowledge base consolidation. Surveys on Data integration:
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nju-websoft/contea
공식 코드Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
https://github.com/nju-websoft/eventea
공식 코드EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs
https://github.com/nju-websoft/exea
공식 코드Generating Explanations to Understand and Repair Embedding-based Entity Alignment
https://github.com/nju-websoft/mukg
공식 코드$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications
https://github.com/nju-websoft/mukge
공식 코드https://github.com/nju-websoft/unify-ea-sf
공식 코드https://github.com/noise-lab/automated-dns-censorship
공식 코드Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
https://github.com/olivierbinette/er-evaluation
공식 코드https://github.com/omicsml/dance
공식 코드Graph Neural Networks for Multimodal Single-Cell Data Integration
https://github.com/openai/multiagent-competition
공식 코드https://github.com/openmicg/mcg
공식 코드https://github.com/oreozhao/tea
공식 코드From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
https://github.com/ornl/flowcept
공식 코드Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability
https://github.com/paragdakle/emailcoref
공식 코드CEREC: A Corpus for Entity Resolution in Email Conversations
https://github.com/patentsview/patentsview-evaluation
공식 코드Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org
https://github.com/penfever/archetype
공식 코드ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models
https://github.com/phcavelar/coxae
공식 코드https://github.com/philine-bommer/dl4s2s
공식 코드Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
https://github.com/phucty/MTab
공식 코드MTab: Matching Tabular Data to Knowledge Graph using Probability Models
https://github.com/phucty/mtab_tool
공식 코드MTab: Matching Tabular Data to Knowledge Graph using Probability Models
https://github.com/piyushsinghpasi/INDENT
공식 코드https://github.com/pthomaslab/sdp-inference
공식 코드Moment-based parameter inference with error guarantees for stochastic reaction networks
https://github.com/qcri/cmdl
공식 코드Cross Modal Data Discovery over Structured and Unstructured Data Lakes
https://github.com/qdin4048/CPL-OT
공식 코드Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
https://github.com/qlm-project/qlm
공식 코드Queue management for slo-oriented large language model serving
https://github.com/quentin-duchemin/goodness-of-fit-MC
공식 코드Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains
https://github.com/raoyongming/DynamicViT
공식 코드DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
https://github.com/rascalgdd/pmnet
공식 코드https://github.com/ravice234/cryptoasset-attribution-tag-linker
공식 코드Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach
https://github.com/rebeccaeexu/cit-ec
공식 코드https://github.com/remorax/veealign
공식 코드VeeAlign: Multifaceted Context Representation using Dual Attention for Ontology Alignment
https://github.com/ritatsousa/expressionKGplus
공식 코드Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
https://github.com/ritatsousa/expressionkg
공식 코드https://github.com/rongstat/EOT-eigenmap
공식 코드https://github.com/rongstat/smai
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.