Xin Liu

Mach. Learn., April, 2024

2023

Heterogeneous graph embedding with single-level aggregation and infomax encoding.

[BibT_eX]

[DOI]

Nguyen Thai Hoang

Mach. Learn., November, 2023

Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

Feature selection: Key to enhance node classification with graph neural networks.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., March, 2023

DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, February, 2023

WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs.

[BibT_eX]

[DOI]

IEEE Access, 2023

Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Enhancing citation recommendation using citation network embedding.

[BibT_eX]

[DOI]

Chanathip Pornprasit

Pattararat Kiattipadungkul

Scientometrics, 2022

SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Efficient stereo matching on embedded GPUs with zero-means cross correlation.

[BibT_eX]

[DOI]

J. Syst. Archit., 2022

Simplifying approach to node classification in Graph Neural Networks.

[BibT_eX]

[DOI]

J. Comput. Sci., 2022

Balanced softmax cross-entropy for incremental learning with and without memory.

[BibT_eX]

[DOI]

Quentin Jodelet

Comput. Vis. Image Underst., 2022

Efficient stereo matching on embedded GPUs with zero-means cross correlation.

[BibT_eX]

[DOI]

CoRR, 2022

Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution.

[BibT_eX]

[DOI]

CoRR, 2022

Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes.

[BibT_eX]

[DOI]

Zarina Rakhimberdina

IEEE Access, 2022

Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies.

[BibT_eX]

[DOI]

IEEE Access, 2022

Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Dual Cost-sensitive Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph.

[BibT_eX]

[DOI]

Ruidong Jin

Proceedings of the Discovery Science - 25th International Conference, 2022

Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Leaping through Time with Gradient-Based Adaptation for Recommendation.

[BibT_eX]

[DOI]

Hoang NT

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph Neural Networks for Fast Node Ranking Approximation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Graph convolutional networks for graphs containing missing features.

[BibT_eX]

[DOI]

Hibiki Taguchi

Future Gener. Comput. Syst., 2021

Natural Image Reconstruction from fMRI using Deep Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Graph Neural Networks with Simple Architecture Design.

[BibT_eX]

[DOI]

CoRR, 2021

Structure-guided attributed network embedding with "centroid" enhancement.

[BibT_eX]

[DOI]

Computing, 2021

Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Access, 2021

Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Balanced Softmax Cross-Entropy for Incremental Learning.

[BibT_eX]

[DOI]

Quentin Jodelet

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word Semantics.

[BibT_eX]

[DOI]

Proceedings of the Towards Open and Trustworthy Digital Societies, 2021

Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph.

[BibT_eX]

[DOI]

Noppayut Sriwatanasakdi

Nontawat Charoenphakdee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder.

[BibT_eX]

[DOI]

Zarina Rakhimberdina

Sensors, 2020

Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization.

[BibT_eX]

[DOI]

Entropy, 2020

CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk.

[BibT_eX]

[DOI]

Proceedings of the Web and Wireless Geographical Information Systems, 2020

ConvCN: A CNN-Based Citation Network Embedding Algorithm towards Citation Recommendation.

[BibT_eX]

[DOI]

Chanathip Pornprasit

Kyoung-Sook Kim

Thanapon Noraset

Suppawong Tuarob

Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

Z2-ZNCC: ZigZag Scanning based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision.

[BibT_eX]

[DOI]

Julien Leblay

Melisachew Wudage Chekol

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

How much topological structure is preserved by graph embeddings?

[BibT_eX]

[DOI]

Comput. Sci. Inf. Syst., 2019

Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation.

[BibT_eX]

[DOI]

IEEE Access, 2019

A General View for Network Embedding as Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction Pathways.

[BibT_eX]

[DOI]

Lihua Zhao

Ryutaro Ichise

Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Ryutaro Ichise

Proceedings of the Advances in Artificial Intelligence, 2019

Fast Approximations of Betweenness Centrality with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Optimizing Variational Graph Autoencoder for Community Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Variational Approach for Learning Community Structures.

[BibT_eX]

[DOI]

Complex., 2018

Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure?

[BibT_eX]

[DOI]

Kyoung-Sook Kim

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Network Embedding Based on a Quasi-Local Similarity Measure.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Learning Community Structure with Variational Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

A Comparative Study of Network Embedding Based on Matrix Factorization.

[BibT_eX]

[DOI]

Kyoung-Sook Kim

Proceedings of the Data Mining and Big Data - Third International Conference, 2018

2017

Towards an aggregator that exploits big data to bid on frequency containment reserve market.

[BibT_eX]

[DOI]

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Food Sales Prediction with Meteorological Data - A Case Study of a Japanese Chain Supermarket.

[BibT_eX]

[DOI]

Ryutaro Ichise

Proceedings of the Data Mining and Big Data - Second International Conference, 2017

2016

Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression.

[BibT_eX]

[DOI]

New Gener. Comput., 2016

2014

Detecting network communities beyond assortativity-related attributes.

[BibT_eX]

[DOI]

CoRR, 2014

A Framework for Community Detection in Heterogeneous Multi-Relational Networks.

[BibT_eX]

[DOI]

Adv. Complex Syst., 2014

A unified modularity by encoding the similarity attraction feature into the null model.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Extracting the multilevel communities based on network structural and nonstructural information.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Community detection algorithm based on centrality and node distance in scale-free networks.

[BibT_eX]

[DOI]

Sorn Jarukasemratana

Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

2012

Extending modularity by incorporating distance functions in the null model

[BibT_eX]

[DOI]

CoRR, 2012

2011

Detecting Communities in K-Partite K-Uniform (Hyper)Networks.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2011

Extracting the mesoscopic structure from heterogeneous systems.

[BibT_eX]

[DOI]

Proceedings of the HT'11, 2011

2010

An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks.

[BibT_eX]

[DOI]

J. Adv. Comput. Intell. Intell. Informatics, 2010

Detecting Communities in Tripartite Hypergraphs

[BibT_eX]

[DOI]

CoRR, 2010

Evaluating Community Structure in Bipartite Networks.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

2009

Community Detection in Large-Scale Bipartite Networks.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

How Does Label Propagation Algorithm Work in Bipartite Networks?

[BibT_eX]

[DOI]