NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
- Enyan Dai
- Charu Aggarwal
- et al.
- 2021
- KDD 2021
Conference paper
Publications
1615 results for Machine Learning
Representation Learning of Multivariate Time Series using a Transformer Framework
- George Zerveas
- Srideepika Jayaraman
- et al.
- 2021
- KDD 2021
Conference paperEnvironment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets
- Praveen Venkateswaran
- Vinod Muthusamy
- et al.
- 2021
- KDD 2021
Conference paperDetection Masking for Improved OCR on Noisy Documents
- Daniel Rotman
- Ophir Azulai
- et al.
- 2021
- KDD 2021
Workshop paperOut-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
- Hannah Kim
- Girmaw Abebe Tadesse
- et al.
- 2021
- KDD 2021
Workshop paperRisk Analytics for Renewal of Purchase Orders
- Shubhi Asthana
- Pawan Chowdhary
- et al.
- 2021
- KDD 2021
Workshop paperLeveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
- Shruthi Chari
- Prithwish Chakraborty
- et al.
- 2021
- KDD 2021
Workshop paperApplied Data Science for Healthcare
- Fei Wang
- Prithwish Chakraborty
- et al.
- 2021
- KDD 2021
Workshop3rd Workshop on Data Science with Human in the Loop (DaSH)
- Eduard Dragut
- Lucian Popa
- et al.
- 2021
- KDD 2021
WorkshopWorkshop on Document Intelligence
- Douglas Burdick
- Dave Lewis
- et al.
- 2021
- KDD 2021
Workshop