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05/03/2023
MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction
How to effectively represent molecules is a long-standing challenge for ...
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09/16/2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
The last decade has witnessed a prosperous development of computational ...
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05/23/2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
Graph contrastive learning (GCL) has attracted a surge of attention due ...
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12/06/2021
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting
Traffic forecasting plays an indispensable role in the intelligent trans...
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12/06/2021
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting
Traffic forecasting is important in intelligent transportation systems o...
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08/25/2021
Inductive Matrix Completion Using Graph Autoencoder
Recently, the graph neural network (GNN) has shown great power in matrix...
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06/10/2021
Graph Symbiosis Learning
We introduce a framework for learning from multiple generated graph view...
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08/15/2018