Jaemin Yoo

CoRR, 2024

NETEFFECT: Discovery and Exploitation of Generalized Network Effects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Reciprocity in directed hypergraphs: measures, findings, and generators.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., November, 2023

Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success.

[BibT_eX]

[DOI]

Tiancheng Zhao

Trans. Mach. Learn. Res., 2023

End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection.

[BibT_eX]

[DOI]

Lingxiao Zhao

CoRR, 2023

UltraProp: Principled and Explainable Propagation on Large Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Tutorials at The Web Conference 2023.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Behrooz Omidvar-Tehrani

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Classification of Edge-dependent Labels of Nodes in Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Deep Attention in Graph Neural Networks: Problems and Remedies.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Graph-based PU learning for binary and multiclass classification without class prior.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2022

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection.

[BibT_eX]

[DOI]

Tiancheng Zhao

CoRR, 2022

Model-Agnostic Augmentation for Accurate Graph Classification.

[BibT_eX]

[DOI]

Sooyeon Shim

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MiDaS: Representative Sampling from Real-world Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Transition Matrix Representation of Trees with Transposed Convolutions.

[BibT_eX]

[DOI]

Lee Sael

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mining of Real-world Hypergraphs: Patterns, Tools, and Generators.

[BibT_eX]

[DOI]

Geon Lee

Kijung Shin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Gaussian Soft Decision Trees for Interpretable Feature-Based Classification.

[BibT_eX]

[DOI]

Lee Sael

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Accurate Graph-Based PU Learning without Class Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Signed Graph Diffusion Network.

[BibT_eX]

[DOI]

Jinhong Jung

CoRR, 2020

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019

Knowledge Extraction with No Observable Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Belief Propagation Network for Hard Inductive Semi-Supervised Learning.

[BibT_eX]

[DOI]

Hyunsik Jeon

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees.

[BibT_eX]

[DOI]

Lee Sael

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.

[BibT_eX]

[DOI]

Saehan Jo

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.

[BibT_eX]

[DOI]

Saehan Jo