From Node Embedding To Community Embedding. - Vincent W. Zheng; Sandro Cavallari; Hongyun Cai 001; Kevin Chen-Chuan Chang; Erik Cambria (CoRR, 2016)

Learning Community Embedding with Community Detection and Node Embedding on Graphs. - Sandro Cavallari; Vincent W. Zheng; Hongyun Cai 001; Kevin Chen-Chuan Chang; Erik Cambria (CIKM, 2017)

Learning Word Vectors in Deep Walk using Convolution. - Iti Chaturvedi; Erik Cambria; Sandro Cavallari; Vincent Wenchen Zheng (FLAIRS, 2017)

An Attention-Based Model for Learning Dynamic Interaction Networks. - Sandro Cavallari; Soujanya Poria; Erik Cambria; Vincent W. Zheng; Hongyun Cai 001 (IJCNN, 2019)

Seq2Seq Deep Learning Models for Microtext Normalization. - Ranjan Satapathy; Yang Li 055; Sandro Cavallari; Erik Cambria (IJCNN, 2019)

Embedding Both Finite and Infinite Communities on Graphs [Application Notes]. - Sandro Cavallari; Erik Cambria; Hongyun Cai 001; Kevin Chen-Chuan Chang; Vincent W. Zheng (IEEE Comput. Intell. Mag., 2019)

Fuzzy commonsense reasoning for multimodal sentiment analysis. - Iti Chaturvedi; Ranjan Satapathy; Sandro Cavallari; Erik Cambria (Pattern Recognit. Lett., 2019)

From node embedding to community embedding on graphs - Sandro Cavallari (2019)

Genetic Programming for Domain Adaptation in Product Reviews. - Iti Chaturvedi; Erik Cambria; Sandro Cavallari; Roy E. Welsch (CEC, 2020)

Predicting video engagement using heterogeneous DeepWalk. - Iti Chaturvedi; Kishor Thapa; Sandro Cavallari; Erik Cambria; Roy E. Welsch (Neurocomputing, 2021)