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07/18/2023
GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction
Drug-target binding affinity prediction plays an important role in the e...
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05/19/2023
ALT: An Automatic System for Long Tail Scenario Modeling
In this paper, we consider the problem of long tail scenario modeling wi...
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02/13/2023
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation
In recommendation scenarios, there are two long-standing challenges, i.e...
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01/16/2023
The Balanced Matrix Factorization for Computational Drug Repositioning
Computational drug repositioning aims to discover new uses of drugs that...
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06/01/2022
Self-supervised Learning for Label Sparsity in Computational Drug Repositioning
The computational drug repositioning aims to discover new uses for marke...
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11/29/2021
The Computational Drug Repositioning without Negative Sampling
Computational drug repositioning technology is an effective tool to acce...
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09/16/2021
The Neural Metric Factorization for Computational Drug Repositioning
Computational drug repositioning aims to discover new therapeutic diseas...
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06/12/2020
Hybrid Attentional Memory Network for Computational drug repositioning
Drug repositioning is designed to discover new uses of known drugs, whic...
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03/05/2020
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Machine learning techniques have been widely applied in Internet compani...
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03/05/2020
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance
The insurance industry has been creating innovative products around the ...
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02/27/2020
Heterogeneous Graph Neural Networks for Malicious Account Detection
We present, GEM, the first heterogeneous graph neural network approach f...
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06/18/2019
