Published in KDD, 2019
Key words: Graph Convolutional Networks, Robustness, Adversarial Attacks, Deep Learning
Recommended citation: Zhu, Dingyuan, et al. "Robust Graph Convolutional Networks Against Adversarial Attacks". Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2019. https://zw-zhang.github.io/files/2019_KDD_RGCN.pdf
Published in ICDM, 2018
Key words: network embedding, billion-scale, random projection, distributed algorithm, dynamic networks
Recommended citation: Zhang, Ziwei, et al. "Billion-scale Network Embedding with Iterative Random Projection." Data Mining (ICDM), 2018 IEEE International Conference on. IEEE, 2018. https://zw-zhang.github.io/files/2018_ICDM_RandNE.pdf
Published in KDD, 2018
Key words: network embedding, arbitrary-order proximity, SVD, eigen-decomposition
Recommended citation: Zhang, Ziwei, et al. "Arbitrary-Order Proximity Preserved Network Embedding." Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2018. https://zw-zhang.github.io/files/2018_KDD_AROPE.pdf
Published in IJCAI, 2018
Key words: trust prediction, sparse component, high-order proximity, matrix factorization
Recommended citation: Wang, Xiao, et al. "Power-law Distribution Aware Trust Prediction." IJCAI. 2018. https://zw-zhang.github.io/files/2018_IJCAI_Trust.pdf
Published in TKDE, 2018
Key words: network embedding, dynamic networks, Generalized SVD (GSVD), matrix perturbation
Recommended citation: Zhu, Dingyuan, et al. "High-order Proximity Preserved Embedding For Dynamic Networks." IEEE Transactions on Knowledge and Data Engineering (2018). https://zw-zhang.github.io/files/2018_TKDE_DHPE.pdf
Published in AAAI, 2018
Key words: dynamic networks, Singular Value Decomposition (SVD), restarts, matrix perturbation
Recommended citation: Zhang, Ziwei, et al. "TIMERS: Error-Bounded SVD Restart on Dynamic Networks." Proceedings of the 32nd AAAI Conference on Artificial Intelligence (2018). https://zw-zhang.github.io/files/2018_AAAI_TIMERS.pdf
Published in KDD, 2016
Key words: graph embedding, asymmetric transitivity, Generalized SVD (GSVD)
Recommended citation: Ou, Mingdong, et al. "Asymmetric transitivity preserving graph embedding." Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2016. https://zw-zhang.github.io/files/2016_KDD_HOPE.pdf