2019
- Certifiable Robustness to Graph Perturbations. 2019 more…
- Adversarial Attacks on Graph Neural Networks via Meta Learning. 2019 more…
- Diffusion Improves Graph Learning. 2019 more…
- Multi-Source Neural Variational Inference. Proceedings of the AAAI Conference on Artificial Intelligence 33, 2019, 4114-4121 more…
- Uncertainty on Asynchronous Time Event Prediction. 2019 more…
- Stability and dynamics of communities on online question–answer sites. Social Networks 58, 2019, 50-58 more…
- Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping. In: Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2019 more…
- Learning Temporal Specifications from Imperfect Traces Using Bayesian Inference. Proceedings of the 56th Annual Design Automation Conference 2019 on - DAC '19, ACM Press, 2019 more…
- GhostLink: Latent Network Inference for Influence-aware Recommendation. The World Wide Web Conference on - WWW '19, ACM Press, 2019 more…
- Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift. 2019 more…
- Adversarial Attacks on Neural Networks for Graph Data. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, 2019 more…
- Certifiable Robustness and Robust Training for Graph Convolutional Networks. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19, ACM Press, 2019 more…
2018
- Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure. AAAI Conference on Artificial Intelligence, 2018, 2738-2745 more…
- Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. International Conference on Learning Representations, 2018, 1–13 more…
- NetGAN: Generating Graphs via Random Walks. International Conference on Machine Learning, 2018, 609–618 more…
- Predict then Propagate: Combining neural networks with personalized pagerank for classification on graphs. International Conference on Learning Representations, 2018 more…
- Multi-Source Neural Variational Inference. AAAI 2019, Association for the Advancement of Artificial Intelligence, 2018 more…
- Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without Imputation. In: Proceedings of the 2018 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2018 more…
- An LSTM Approach to Patent Classification based on Fixed Hierarchy Vectors. In: Proceedings of the 2018 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2018 more…
- Pre-ignition Detection Using Deep Neural Networks: A Step Towards Data-driven Automotive Diagnostics. 2018 21st International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2018 more…
- Adversarial Attacks on Neural Networks for Graph Data. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18, ACM Press, 2018 more…
- Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs. In: Similarity Search and Applications. Springer International Publishing, 2018 more…
2017
- Bayesian robust attributed graph clustering: joint learning of partial anomalies and group structure,. AAAI Conf. Artificial Intelligence, 2017 more…
- Robust Spectral Clustering for Noisy Data. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17, ACM Press, 2017 more…
- The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation. In: Proceedings of the 2017 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2017 more…
- ZooBP. Proceedings of the VLDB Endowment 10 (5), 2017, 625-636 more…
- Machine Learning Meets Databases. Datenbank-Spektrum 17 (1), 2017, 77-83 more…
- Detection and Prediction of Natural Hazards Using Large-Scale Environmental Data. In: Advances in Spatial and Temporal Databases. Springer International Publishing, 2017 more…
- Efficient batched distance and centrality computation in unweighted and weighted graphs. Conference on Database Systems for Business, Technology, and Web, 2017 more…
- SQL- and Operator-centric Data Analytics in Relational Main-Memory Databases. 2017, 10.5441/002/edbt.2017.09(other entry) more…
- Efficient Batched Distance, Closeness and Betweenness Centrality Computation in Unweighted and Weighted Graphs. Datenbank-Spektrum 17 (2), 2017, 169-182 more…
- Automatic algorithm transformation for efficient multi-snapshot analytics on temporal graphs. Proceedings of the VLDB Endowment 10 (8), 2017, 877-888 more…
2016
- MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels. Knowledge and Information Systems 50 (2), 2016, 417-446 more…