Phu Pham
Orcid: 0000-0002-8599-8126
According to our database1,
Phu Pham
authored at least 47 papers
between 2018 and 2025.
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Bibliography
2025
IEEE Trans. Neural Networks Learn. Syst., June, 2025
An approach of multi-viewed graph embedding with adaptive heat kernel based diffusion and global expressive learning.
Soft Comput., April, 2025
IEEE Trans. Syst. Man Cybern. Syst., February, 2025
An integrated simplicial neural network with neuro-fuzzy network for graph embedding.
Int. J. Mach. Learn. Cybern., January, 2025
A community-aware graph neural network applied to geographical location-based representation learning and clustering within GIS.
Expert Syst. Appl., 2025
An enhancement of multi-scope topological graph pooling and representation learning with attention for molecular graph classification.
Comput. Biol. Chem., 2025
Integrating Topological Data Analysis and Deep Learning: A Case Study in Cardiovascular Disease Prediction at Thu Duc Hospital.
Proceedings of the Intelligent Information and Database Systems - 17th Asian Conference, 2025
2024
A Structure-Enhanced Heterogeneous Graph Representation Learning with Attention-Supplemented Embedding Fusion.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., May, 2024
Enhancing local citation recommendation with recurrent highway networks and SciBERT-based embedding.
Expert Syst. Appl., 2024
FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting.
CoRR, 2024
CoRR, 2024
MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification.
CoRR, 2024
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024
2023
Enhancing Anchor Link Prediction in Information Networks through Integrated Embedding Techniques.
Inf. Sci., October, 2023
An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems.
IEEE Trans. Cybern., September, 2023
Enhanced context-aware citation recommendation with auxiliary textual information based on an auto-encoding mechanism.
Appl. Intell., July, 2023
Deep learning, graph-based text representation and classification: a survey, perspectives and challenges.
Artif. Intell. Rev., June, 2023
Vietnam. J. Comput. Sci., May, 2023
A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation.
Inf. Sci., 2023
CoRR, 2023
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems.
CoRR, 2023
CoRR, 2023
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks.
IROS, 2023
DroNeRF: Real-Time Multi-Agent Drone Pose Optimization for Computing Neural Radiance Fields.
IROS, 2023
2022
Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam.
Expert Syst. Appl., October, 2022
ComGCN: Community-Driven Graph Convolutional Network for Link Prediction in Dynamic Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2022
TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
Heterogeneous graph convolutional network pre-training as side information for improving recommendation.
Neural Comput. Appl., 2022
Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks.
Inf. Syst., 2022
2021
W-KG2Vec: a weighted text-enhanced meta-path-based knowledge graph embedding for similarity search.
Neural Comput. Appl., 2021
Automatic topic labelling for text document using ontology of graph-based concepts and dependency graph.
Int. J. Bus. Inf. Syst., 2021
The approach of using ontology as a pre-knowledge source for semi-supervised labelled topic model by applying text dependency graph.
Int. J. Bus. Intell. Data Min., 2021
W-MMP2Vec: Topic-driven network embedding model for link prediction in content-based heterogeneous information network.
Intell. Data Anal., 2021
2020
W-Metagraph2Vec: a novel approval of enriched schematic topic-driven heterogeneous information network embedding.
Int. J. Mach. Learn. Cybern., 2020
ComRank: community-based ranking approach for heterogeneous information network analysis and mining.
Int. J. Bus. Intell. Data Min., 2020
Topic-driven top-k similarity search by applying constrained meta-path based in content-based schema-enriched heterogeneous information network.
Int. J. Bus. Intell. Data Min., 2020
W-Com2Vec: A topic-driven meta-path- based intra-community embedding for content-based heterogeneous information network.
Intell. Data Anal., 2020
#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media.
CoRR, 2020
The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
2019
DW-PathSim: a distributed computing model for topic-driven weighted meta-path-based similarity measure in a large-scale content-based heterogeneous information network.
J. Inf. Telecommun., 2019
W-MetaPath2Vec: The topic-driven meta-path-based model for large-scaled content-based heterogeneous information network representation learning.
Expert Syst. Appl., 2019
2018
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018
W-PathSim++: the novel approach of topic-driven similarity search in large-scaled heterogeneous network with the support of Spark-based DataLog.
Proceedings of the 10th International Conference on Knowledge and Systems Engineering, 2018
T-MPP: A Novel Topic-Driven Meta-path-Based Approach for Co-authorship Prediction in Large-Scale Content-Based Heterogeneous Bibliographic Network in Distributed Computing Framework by Spark.
ICO, 2018
W-PathSim: Novel Approach of Weighted Similarity Measure in Content-Based Heterogeneous Information Networks by Applying LDA Topic Modeling.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018