NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
- Enyan Dai
- Charu Aggarwal
- et al.
- 2021
- KDD 2021
Publications
27 results at KDD 2021
Graph Adversarial Attack via Rewiring
- Yao Ma
- Suhang Wang
- et al.
- 2021
- KDD 2021
Leveraging Latent Features for Local Explanations
- Ronny Luss
- Pin-Yu Chen
- et al.
- 2021
- KDD 2021
A Transformer-based Framework for Multivariate Time Series Representation Learning
- George Zerveas
- Srideepika Jayaraman
- et al.
- 2021
- KDD 2021
Data Science with Human in the Loop
- Eduard Dragut
- Yunyao Li
- et al.
- 2021
- KDD 2021
2nd International Workshop on Data Quality Assessment for Machine Learning
- Hima Patel
- Fuyuki Ishikawa
- et al.
- 2021
- KDD 2021
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
Toward Explainable Deep Anomaly Detection
- Guansong Pang
- Charu Aggarwal
- 2021
- KDD 2021
MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks
- Junheng Hao
- Chuan Lei
- et al.
- 2021
- KDD 2021
Representation Learning of Multivariate Time Series using a Transformer Framework
- George Zerveas
- Srideepika Jayaraman
- et al.
- 2021
- KDD 2021