Hongwei Jin

Ying Liu

Axioms, February, 2024

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.

[BibT_eX]

[DOI]

Miquel Ferriol Galmés

Mustafa Hajij

Theodore Papamarkou

Maria Sofia Bucarelli

Bertran Miquel-Oliver

Alessandro Salatiello

CoRR, 2024

Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement.

[BibT_eX]

[DOI]

Aditi S. Krishnapriyan

Adam Mate

Arthur K. Barnes

Russell Bent

CoRR, 2024

Advancing Anomaly Detection in Computational Workflows with Active Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2024

2023

An Intelligent Prediction for the Innovation Capability of BIM Based on MSCNN-AMIGRU in Industrial Cyber Physical Systems.

[BibT_eX]

[DOI]

Fengqin Wu

IEEE Syst. J., December, 2023

The Moore-Penrose inverse of tensors via the M-product.

[BibT_eX]

[DOI]

Comput. Appl. Math., September, 2023

Graph neural networks for detecting anomalies in scientific workflows.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., July, 2023

Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., April, 2023

Characterizations of the Generalized MPCEP Inverse of Rectangular Matrices.

[BibT_eX]

[DOI]

Jiaxuan Yao

J. Appl. Math., 2023

Self-supervised Learning for Anomaly Detection in Computational Workflows.

[BibT_eX]

[DOI]

CoRR, 2023

Flow-Bench: A Dataset for Computational Workflow Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Workflow Anomaly Detection with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound.

[BibT_eX]

[DOI]

Zishun Yu

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats.

[BibT_eX]

[DOI]

Zishun Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs.

[BibT_eX]

[DOI]

Xun Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

A Practical Remote Sensing Monitoring Framework for Late Frost Damage in Wine Grapes Using Multi-Source Satellite Data.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Chemical Space, Scaffolds, and Halogenated Compounds of CMNPD: A Comprehensive Chemoinformatic Analysis.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2021

2020

TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2020

Robust Training of Graph Convolutional Networks via Latent Perturbation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks.

[BibT_eX]

[DOI]

Venkata Jaya Shankar Ashish Peruri

Zhan Shi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning.

[BibT_eX]

[DOI]

Ning Yan

Masood S. Mortazavi

Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020

2018

A universal estimation model of fractional vegetation cover for different crops based on time series digital photographs.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2018

Detecting Coffee (Coffea Arabica L.) Sequential Flowering Events Based on Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017

The generalized inverses of tensors and an application to linear models.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2017

2014

An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2014

2013

New Representations of the Group Inverse of 2×2 Block Matrices.

[BibT_eX]

[DOI]

Qi Yang

J. Appl. Math., 2013

Representations of generalized inverses of partitioned matrix involving Schur complement.

[BibT_eX]

[DOI]

Dragana S. Cvetkovic-Ilic

Appl. Math. Comput., 2013

2012

The absorption laws for the generalized inverses.

[BibT_eX]

[DOI]

Dragana S. Cvetkovic-Ilic

Appl. Math. Comput., 2012

Sentiment Analysis with Multi-source Product Reviews.

[BibT_eX]

[DOI]