Suchergebnisse - Constrained Graph Variational Autoencoder

Conditional Constrained Graph Variational Autoencoders for Molecule Design von Rigoni, Davide, Navarin, Nicolo, Sperduti, Alessandro

“… We present Conditional Constrained Graph Variational Autoencoder (CCGVAE), a model that implements this key-idea in a state-of-the-art model, and shows improved results …”
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Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery von Cheng, Tianyue, Fan, Tianchi, Landi, Wang

“… (commonly known as SARS-CoV-2). We proposed a new model called Genetic Constrained Graph Variational Autoencoder (GCGVAE …”
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Constrained Graph Variational Autoencoders for Molecule Design von Liu, Qi, Allamanis, Miltiadis, Brockschmidt, Marc, Gaunt, Alexander L

“… We propose a variational autoencoder model in which both encoder and decoder are graph-structured …”
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Conditional Constrained Graph Variational Autoencoders for Molecule Design von Rigoni, Davide, Navarin, Nicolò, Sperduti, Alessandro

“… We present Conditional Constrained Graph Variational Autoencoder (CCGVAE), a model that implements this key-idea in a state-of-the-art model, and shows improved results …”
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Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder von Shervani-Tabar, Navid, Zabaras, Nicholas

“… In this work, we assess the predictive capabilities of a molecular generative model developed based on variational inference and graph theory in the small data regime …”
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Automated site layout generation for buildings using graph constrained generative adversarial network von Jiang, Ming, Chen, Yimin, Liu, Xiaoping, Gao, Jinding

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Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders von Ma, Tengfei, Chen, Jie, Cao, Xiao

“… These constraints are not easy to be incorporated into a generative model. In this work, we propose a regularization framework for variational autoencoders as a step …”
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Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder von Amodeo, Carlo, Fortel, Igor, Ajilore, Olusola, Zhan, Liang, Leow, Alex, Tulabandhula, Theja

“… leveraged to improve our understanding of the brain. To this end, we propose a function-constrained structural graph variational autoencoder (FCS-GVAE …”
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Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder von Li, Chunyan, Yao, Junfeng, Wei, Wei, Niu, Zhangming, Zeng, Xiangxiang, Li, Jin, Wang, Jianmin

“… We proposed GEOM-CVAE, a constrained variational autoencoder based on geometric representation for molecular generation with specific properties, which is protein-context-dependent …”
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OpenWGL: open-world graph learning for unseen class node classification von Wu, Man, Pan, Shirui, Zhu, Xingquan

“… Graph learning, such as node classification, is typically carried out in a closed-world setting …”
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Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder von Luo, Xin, Wang, Liwei, Hu, Pengwei, Hu, Lun

“… To overcome this problem, a novel PPI prediction algorithm, namely PASNVGA, is proposed in this work by combining the sequence and network information of proteins via variational graph autoencoder …”
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Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation von Chattopadhyay, Aditya, Zhang, Xi, Wipf, David Paul, Arora, Himanshu, Vidal, Rene

“… We present a graph variational autoencoder with a structured prior for generating the layout of indoor 3D scenes …”
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Self-Organizing Maps-Assisted Variational Autoencoder for Unsupervised Network Anomaly Detection von Huang, Hailong, Yang, Jiahong, Zeng, Hang, Wang, Yaqin, Xiao, Liuming

“… To overcome these limitations, this study proposes a self-organizing maps-assisted variational autoencoder (SOVAE) framework …”
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Knowledge-embedding deep interpretable graph model for wear prediction: Application in pantograph-catenary systems von Mo, Yutao, Peng, Yizhen, Wu, Jing, Fan, Kangbo

“… on material parameters, environmental factors, and wear mechanisms are limited in accuracy. Purely data-driven approaches, on the other hand, are constrained …”
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OpenWGL: Open-World Graph Learning von Wu, Man, Pan, Shirui, Zhu, Xingquan

“… In traditional graph learning tasks, such as node classification, learning is carried out in a closed-world setting where the number of classes and their training samples are provided to help train …”
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Vehicular Social Dynamic Anomaly Detection With Recurrent Multi-Mask Aggregator Enabled VAE von Hu, Zehao, He, Yuwei, Shen, Yuqi, Jo, Minho, Collotta, Mario, Shen, Guojiang, Kong, Xiangjie

“… However, Graph Attention Networks (GATs) are constrained by the univariate nature of attention heads and coefficients, thus lacking flexibility …”
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TV-CCANM: a transformer variational inference in confounding cascade additive noise model for causal effect estimation von Ahmad, Sohail, Wang, Hong

“… While the Confounding Cascade Nonlinear Additive Noise Model (CCANM) coupled with variational autoencoders (VAEs …”
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A Generative Framework for Predicting Antiferromagnets von Gong, Jianhu, Zhang, Zhengming, Fan, Zhenyu, Fu, Hanghang, Wang, Hongchang, Wang, Dunhui

“… Herein, an AFM design framework integrating a crystal diffusion variational autoencoder is presented with data augmentation (CDVAE‐DA …”
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Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder von Amodeo, Carlo, tel, Igor, Ajilore, Olusola, Zhan, Liang, Leow, Alex, Tulabandhula, Theja

“… leveraged to improve our understanding of the brain. To this end, we propose a function-constrained structural graph variational autoencoder (FCS-GVAE …”
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Structured Graph Variational Autoencoders for Indoor Furniture layout Generation von Chattopadhyay, Aditya, Zhang, Xi, Wipf, David Paul, Arora, Himanshu, Vidal, Rene

“… We present a structured graph variational autoencoder for generating the layout of indoor 3D scenes …”
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