On the public citation graph

Embedding Uncertain Temporal Knowledge Graphs

https://doi.org/10.3390/math11030775
0 signed · 45 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-18576-3_39openalex-snapshot
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering
inferredcites →https://doi.org/10.1007/978-3-030-30493-5_52openalex-snapshot
Hypernetwork Knowledge Graph Embeddings
inferredcites →https://doi.org/10.1007/978-3-030-39878-1_16openalex-snapshot
GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding
inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-snapshot
Modeling Relational Data with Graph Convolutional Networks
inferredcites →https://doi.org/10.1007/s10994-013-5363-6openalex-snapshot
A semantic matching energy function for learning with multi-relational data
inferredcites →https://doi.org/10.1109/access.2020.3047086openalex-snapshot
SUKE: Embedding Model for Prediction in Uncertain Knowledge Graph
inferredcites →https://doi.org/10.1109/tkde.2017.2754499openalex-snapshot
Knowledge Graph Embedding: A Survey of Approaches and Applications
inferredcites →https://doi.org/10.1109/tnnls.2021.3070843openalex-snapshot
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
inferredcites →https://doi.org/10.1145/3184558.3191639openalex-snapshot
Deriving Validity Time in Knowledge Graph
inferredcites →https://doi.org/10.1145/3191513openalex-snapshot
Never-ending learning
inferredcites →https://doi.org/10.1145/3331184.3331273openalex-snapshot
Network Embedding and Change Modeling in Dynamic Heterogeneous Networks
inferredcites →https://doi.org/10.1145/3404835.3462963openalex-snapshot
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
inferredcites →https://doi.org/10.1609/aaai.v25i1.7917openalex-snapshot
Learning Structured Embeddings of Knowledge Bases
inferredcites →https://doi.org/10.1609/aaai.v28i1.8870openalex-snapshot
Knowledge Graph Embedding by Translating on Hyperplanes
inferredcites →https://doi.org/10.1609/aaai.v29i1.9491openalex-snapshot
Learning Entity and Relation Embeddings for Knowledge Graph Completion
inferredcites →https://doi.org/10.1609/aaai.v31i1.10495openalex-snapshot
Marrying Uncertainty and Time in Knowledge Graphs
inferredcites →https://doi.org/10.1609/aaai.v32i1.11573openalex-snapshot
Convolutional 2D Knowledge Graph Embeddings
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013060openalex-snapshot
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion
inferredcites →https://doi.org/10.1609/aaai.v35i5.16522openalex-snapshot
PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding
inferredcites →https://doi.org/10.1609/aaai.v35i5.16604openalex-snapshot
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
inferredcites →https://doi.org/10.18653/v1/d18-1225openalex-snapshot
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
inferredcites →https://doi.org/10.18653/v1/d18-1516openalex-snapshot
Learning Sequence Encoders for Temporal Knowledge Graph Completion
inferredcites →https://doi.org/10.18653/v1/d19-1250openalex-snapshot
Language Models as Knowledge Bases?
inferredcites →https://doi.org/10.18653/v1/n18-1133openalex-snapshot
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
inferredcites →https://doi.org/10.18653/v1/n18-2053openalex-snapshot
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
inferredcites →https://doi.org/10.18653/v1/p16-1219openalex-snapshot
TransG : A Generative Model for Knowledge Graph Embedding
inferredcites →https://doi.org/10.3115/v1/d14-1044openalex-snapshot
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
inferredcites →https://doi.org/10.3115/v1/p15-1016openalex-snapshot
Compositional Vector Space Models for Knowledge Base Completion
inferredcites →https://doi.org/10.48550/arxiv.1905.04914openalex-snapshot
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4646205openalex-extracted
Type of the Paper (Article) an Operational Risk Assessment Method for Petrochemical Plants Based on Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-97-5618-6_31openalex-snapshot
Numerical Knowledge Representation Learning and Link Prediction over Knowledge Graph
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127571openalex-snapshot
Overview of knowledge reasoning for knowledge graph
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106219openalex-snapshot
An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph
inferred← citeshttps://doi.org/10.1016/j.procs.2024.02.005openalex-snapshot
Potentials of the Metaverse for Robotized Applications in Industry 4.0 and Industry 5.0
inferred← citeshttps://doi.org/10.1088/1742-6596/2833/1/012001openalex-snapshot
Confidence Prediction Based on Uncertain Knowledge Graph Structure Embedding
inferred← citeshttps://doi.org/10.1109/access.2023.3308514openalex-snapshot
Emerging Exploration Strategies of Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/aiiot61789.2024.10579029openalex-snapshot
Cascading Succession of Models for an Enhanced Long-Tail Discernment AI System
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386470openalex-snapshot
Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/fuzz-ieee60900.2024.10612046openalex-snapshot
Stock Market Index Prediction: A Framework Based on Transfer Learning and Knowledge Graph Enrichment Through Uncertainty Using Natural Language and Fuzzy Logic
inferred← citeshttps://doi.org/10.1109/iaecst60924.2023.10503357openalex-snapshot
Evaluation of Cloud Platform Operation and Maintenance Time Series Knowledge Graph State by Integrating Knowledge Graph and Graph Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3135903/v1openalex-snapshot
An operational risk assessment method for petrochemical plants based on deep learning
inferred← citeshttps://doi.org/10.23919/jsee.2025.000064openalex-snapshot
Knowledge Graph Construction and Complementation for Research Projects
inferred← citeshttps://doi.org/10.3390/electronics12081857openalex-snapshot
A Recommendation Algorithm Combining Local and Global Interest Features
inferred← citeshttps://doi.org/10.3390/electronics15132874openalex-snapshot
VulnPattern-TKG: An End-to-End Temporal Knowledge Graph Framework for Forecasting CVE-Derived Vulnerability-Pattern Relation Emergence
inferred← citeshttps://doi.org/10.3390/math11040940openalex-snapshot
Preface to the Special Issue “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics”—Special Issue Book
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.