Abstract: Temporal-constraint subgraph matching has emerged as a significant challenge in the study of temporal graphs, which model dynamic relationships across various domains, such as social ...
Our research paper has been accepted to The Web Conference 2024. . ├─ framework.png ├─ get_sub_counts.py ├─ main.py ├─ README.md │ ├─ CTAug │ ├─ evaluate.py │ ├─ model.py │ ├─ preprocess.py │ ├─ utils ...
Abstract: Federated Graph learning (FGL) for networked system data enables collaborative model training without sharing raw data, but it also introduces severe privacy risks. Model inversion attacks ...
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