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cs.AI2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs
Yide Qiu, Shaoxiang Ling, Tong Zhang +2
Irregular data in real-world are usually organized as heterogeneous graphs (HGs) consisting of multiple types of nodes and edges. To explore useful knowledge from real-world data,…
cs.LG2023
Structure-Sensitive Graph Dictionary Embedding for Graph Classification
Guangbu Liu, Tong Zhang, Xudong Wang +3
Graph structure expression plays a vital role in distinguishing various graphs. In this work, we propose a Structure-Sensitive Graph Dictionary Embedding (SS-GDE) framework to tran…