Xiaojie Guo

Affiliations:
  • George Mason University, Fairfax, USA


According to our database1, Xiaojie Guo authored at least 29 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2022
Controllable Data Generation by Deep Learning: A Review.
CoRR, 2022

Interpretable Molecular Graph Generation via Monotonic Constraints.
CoRR, 2022

Deep Generative Model for Periodic Graphs.
CoRR, 2022

Compact Graph Structure Learning via Mutual Information Compression.
CoRR, 2022

Small molecule generation via disentangled representation learning.
Bioinform., 2022

Compact Graph Structure Learning via Mutual Information Compression.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deep Learning on Graphs: Methods and Applications (DLG-KDD2022).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph Neural Networks: Foundation, Frontiers and Applications.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatic Controllable Product Copywriting for E-Commerce.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

Disentangled Spatiotemporal Graph Generative Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Intelligent Online Selling Point Extraction for E-commerce Recommendation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Deep graph transformation for attributed, directed, and signed networks.
Knowl. Inf. Syst., 2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation.
CoRR, 2021

Graph Neural Networks for Natural Language Processing: A Survey.
CoRR, 2021

GraphGT: Machine Learning Datasets for Graph Generation and Transformation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep Generative Models for Spatial Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Property Controllable Variational Autoencoder via Invertible Mutual Dependence.
Proceedings of the 9th International Conference on Learning Representations, 2021

Deep Latent-Variable Models for Controllable Molecule Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Systematic Survey on Deep Generative Models for Graph Generation.
CoRR, 2020

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder.
CoRR, 2020

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics.
IEEE Access, 2020

Interpretable Deep Graph Generation with Node-edge Co-disentanglement.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multi-stage Deep Classifier Cascades for Open World Recognition.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Deep Graph Translation.
CoRR, 2018

Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations.
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, 2018

Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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