Search Results for author: Lei Cai

Found 10 papers, 5 papers with code

Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery

1 code implementation2 Dec 2020 Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Qi Qi, Zhuoning Yuan, Tianbao Yang, Shuiwang Ji

Here we develop a suite of comprehensive machine learning methods and tools spanning different computational models, molecular representations, and loss functions for molecular property prediction and drug discovery.

Drug Discovery Molecular Property Prediction

Line Graph Neural Networks for Link Prediction

1 code implementation20 Oct 2020 Lei Cai, Jundong Li, Jie Wang, Shuiwang Ji

In this formalism, a link prediction problem is converted to a graph classification task.

General Classification Graph Classification +2

Structural Plan of Indoor Scenes with Personalized Preferences

no code implementations4 Aug 2020 Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun

In this paper, we propose an assistive model that supports professional interior designers to produce industrial interior decoration solutions and to meet the personalized preferences of the property owners.

Graph Generation

Deep Learning of High-Order Interactions for Protein Interface Prediction

no code implementations18 Jul 2020 Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji

However, these methods do not incorporate the important sequential information from amino acid chains and the high-order pairwise interactions.

Protein Interface Prediction

Adversarial Model for Rotated Indoor Scenes Planning

no code implementations24 Jun 2020 Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun

In this paper, we propose an adversarial model for producing furniture layout for interior scene synthesis when the interior room is rotated.

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

no code implementations15 May 2020 Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen

Detecting anomalies in dynamic graphs is a vital task, with numerous practical applications in areas such as security, finance, and social media.

Anomaly Detection Network Embedding

Dense Transformer Networks

1 code implementation24 May 2017 Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji

The proposed dense transformer modules are differentiable, thus the entire network can be trained.

Semantic Segmentation

Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation

1 code implementation19 May 2017 Lei Cai, Hongyang Gao, Shuiwang Ji

In the simplest case, the proposed multi-stage VAE divides the decoder into two components in which the second component generates refined images based on the course images generated by the first component.

Image Generation

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