https://github.com/wenzhilics/graphsha
공식 코드GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
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/whnhch/accio
공식 코드ACCIO: Table Understanding Enhanced via Contrastive Learning with Aggregations
https://github.com/wiseodd/bo-async-feedback
공식 코드How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?
https://github.com/wondercs1213/uniea
공식 코드Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning
https://github.com/wu-zongyu/posi
공식 코드Universal Prompt Optimizer for Safe Text-to-Image Generation
https://github.com/wulabmda/medical-foundation-models
공식 코드https://github.com/wuuu3511/lamvsnet
공식 코드https://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/xiaoqian19940510/moalign
공식 코드Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
https://github.com/xichennn/msma
공식 코드https://github.com/xichennn/v2i_trajectory_prediction
공식 코드Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving
https://github.com/xiefeng69/gaea
공식 코드Improving Knowledge Graph Entity Alignment with Graph Augmentation
https://github.com/xiefeng69/mixtea
공식 코드MixTEA: Semi-supervised Entity Alignment with Mixture Teaching
https://github.com/xtra-computing/fet
공식 코드Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
https://github.com/yaochenzhu/psf-vae
공식 코드Path-Specific Counterfactual Fairness for Recommender Systems
https://github.com/yaoshuwang/SelNet-Estimation
공식 코드Consistent and Flexible Selectivity Estimation for High-Dimensional Data
https://github.com/yifan-h/multilingual_space
공식 코드Adapters for Enhanced Modeling of Multilingual Knowledge and Text
https://github.com/yijia-xiao/know2bio
공식 코드Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs
https://github.com/yolomax/coltrack
공식 코드Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object Tracking
https://github.com/yueyu1030/SumGNN
공식 코드SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
https://github.com/yumeng5/WeSHClass
공식 코드https://github.com/yzcv/twmac-tt-oka
공식 코드https://github.com/zavareh89/MITST
공식 코드https://github.com/zhrli324/corba
공식 코드CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
https://github.com/zhugekongkong/sgg-g2s
공식 코드From General to Specific: Informative Scene Graph Generation via Balance Adjustment
https://github.com/zhurboo/RAGA
공식 코드RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
https://github.com/zipkinlab/doser_etal_2021_inreview
공식 코드https://github.com/zju-daily/dualmatch
공식 코드https://github.com/zjukg/MEAformer
공식 코드MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
https://github.com/zjukg/kg-mm-survey
공식 코드Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
https://github.com/zjukg/snag
공식 코드Noise-powered Multi-modal Knowledge Graph Representation Framework
https://gitlab.com/anomalyDetection/baseline
공식 코드A Rule Mining-Based Advanced Persistent Threats Detection System
https://gitlab.com/bruno_viti/gpe_4_cardiac_fss
공식 코드Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
https://github.com/1049451037/GCN-Align
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.