Transfer Learning of GNNs with EGI

06-25

突破MPNN模型的能力边界

06-22

Brief Manual of Matrix Caculus

03-03

SSL on Graphs Insights and New Directions

09-26

Transferable Contrasive Network for Generalized Zero-Shot Learning

09-22

Self-Supervised Graph Transformer on Large-Scale Molecular Data

09-17

Strong Convexity

09-14

embedding as matrix factorizaiton

10-02

secure aggregation for federated learning

09-01

red dragonfly

06-29