Phu Pham
Orcid: 0000-0002-0701-5438
According to our database1,
Phu Pham
authored at least 32 papers
between 2018 and 2023.
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Bibliography
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