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11/23/2022
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022
In the technical report, we provide our solution for OGB-LSC 2022 Graph ...
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03/28/2022
Multi-View Substructure Learning for Drug-Drug Interaction Prediction
Drug-drug interaction (DDI) prediction provides a drug combination strat...
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10/29/2021
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Understanding protein sequences is vital and urgent for biology, healthc...
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10/26/2021
Equivariant vector field network for many-body system modeling
Modeling many-body systems has been a long-standing challenge in science...
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10/14/2021
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer
The identification of active binding drugs for target proteins (termed a...
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05/08/2020
Defending Model Inversion and Membership Inference Attacks via Prediction Purification
Neural networks are susceptible to data inference attacks such as the mo...
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05/02/2020
SEEK: Segmented Embedding of Knowledge Graphs
In recent years, knowledge graph embedding becomes a pretty hot research...
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04/26/2019
Regular Expression Matching on billion-nodes Graphs
In many applications, it is necessary to retrieve pairs of vertices with...
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11/12/2018
Hallucinating very low-resolution and obscured face images
Most of the face hallucination methods are often designed for complete i...
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01/13/2018