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09/21/2022
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Graph anomaly detection (GAD) is a vital task since even a few anomalies...
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06/09/2022
Learning to generate imaginary tasks for improving generalization in meta-learning
The success of meta-learning on existing benchmarks is predicated on the...
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03/20/2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Recently, the pretrain-finetuning paradigm has attracted tons of attenti...
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01/24/2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery – A Focus on Affinity Prediction Problems with Noise Annotations
AI-aided drug discovery (AIDD) is gaining increasing popularity due to i...
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06/17/2021
Frustratingly Easy Transferability Estimation
Transferability estimation has been an essential tool in selecting a pre...
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04/06/2017