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12/26/2021
Stepping Back to SMILES Transformers for Fast Molecular Representation Inference
In the intersection of molecular science and deep learning, tasks like v...
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05/08/2021
HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
Well-designed molecular representations (fingerprints) are vital to comb...
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12/04/2020
Learning Node Representations from Noisy Graph Structures
Learning low-dimensional representations on graphs has proved to be effe...
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07/15/2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
Candidate retrieval is a crucial part in recommendation system, where qu...
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02/26/2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have proved to be a most powerful ar...
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11/14/2018