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cs.SI2024
Analyzing the Evolution of Graphs and Texts
Xingzhi Guo
With the recent advance of representation learning algorithms on graphs (e.g., DeepWalk/GraphSage) and natural languages (e.g., Word2Vec/BERT) , the state-of-the art models can eve…
cs.SI2023
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs
Chi Zhang, Wenkai Xiang, Xingzhi Guo +2
Given a dynamic graph, the efficient tracking of anomalous subgraphs via their node embeddings poses a significant challenge. Addressing this issue necessitates an effective scorin…