Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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links to conference publications in graph-based deep learning
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of network embedding techniques.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
The PASS dataset: pretrained models and how to get the data
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design