Toward an Adaptive Skip-Gram Model for Network Representation Learning. - I-Chung Hsieh; Cheng-Te Li (IEEE Access, 2022)

CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding. - I-Chung Hsieh; Cheng-Te Li (IEEE Trans. Knowl. Data Eng., 2023)

NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data. - I-Chung Hsieh; Cheng-Te Li (IEEE Trans. Knowl. Data Eng., 2023)