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cs.LG2021
Propagation on Multi-relational Graphs for Node Regression
Eda Bayram
Recent years have witnessed a rise in real-world data captured with rich structural information that can be conveniently depicted by multi-relational graphs. While inference of con…
cs.LG2020
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation
Eda Bayram, Alberto Garcia-Duran, Robert West
The existing literature on knowledge graph completion mostly focuses on the link prediction task. However, knowledge graphs have an additional incompleteness problem: their nodes p…
cs.LG2019
Mask Combination of Multi-layer Graphs for Global Structure Inference
Eda Bayram, Dorina Thanou, Elif Vural +1
Structure inference is an important task for network data processing and analysis in data science. In recent years, quite a few approaches have been developed to learn the graph st…