Posts by Collection

portfolio

publications

Quantifying the Interdependency Strength Across Critical Infrastructure Systems Using A Dynamic Network Flow Redistribution Model

Yu Wang Jinzhu Yu Hiba Baroud
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.

A Data-Integration Analysis on Road Emissions and Traffic Patterns (Winner of the Data Challenge and Best Paper Award)

Ao Qu Yu Wang Yue Hu Yanbing Wang Hiba Baroud
Communications in Computer and Information Science

Tree Decomposed Graph Neural Network

Yu Wang Tyler Derr
Proceedings of the 30th ACM International Conference on Information & Knowledge Management

Generating synthetic systems of interdependent critical infrastructure networks

Yu Wang Jinzhu Yu Hiba Baroud
IEEE Systems Journal

Graph neural networks: Self-supervised learning

Yu Wang Tyler Derr
Graph Neural Networks: Foundations, Frontiers, and Applications

Fair Graph Representation Learning with Imbalanced and Biased Data

Yu Wang
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

ChemicalX: A Deep Learning Library for Drug Pair Scoring

Benedek Rozemberczki Charles Tapley Hoyt Anna Gogleva Piotr Grabowski Klas Karis Andrej Lamov Andriy Nikolov Sebastian Nilsson Michael Ughetto Yu Wang Tyler Derr Benjamin M. Gyori
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

Yu Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Tyler Derr
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

On Structural Explanation of Bias in Graph Neural Networks

Yushun Dong Song Wang Yu Wang Tyler Derr Jundong Li
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Imbalanced Graph Classification via Graph-of-Graph Neural Networks

Yu Wang Yuying Zhao Neil Shah Tyler Derr
Proceedings of the 31th ACM International Conference on Information & Knowledge Management

Degree-Related Bias in Link Prediction

Yu Wang Tyler Derr
2022 IEEE International Conference on Data Mining Workshops (ICDMW)

Collaboration-Aware Graph Convolutional Network for Recommender Systems

Yu Wang Yuying Zhao Yi Zhang Tyler Derr
Proceedings of the ACM Web Conference 2023

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations

Yuying Zhao Yu Wang Tyler Derr
Proceedings of 37th AAAI Conference on Artificial Intelligence

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery

Yunchao Liu Yu Wang Oanh T Vu Rocco Moretti Bobby Bodenheimer Jens Meiler Tyler Derr
Proceedings of 37th AAAI Conference on Artificial Intelligence

Knowledge Graph Prompting for Multi-Document Question Answering

Yu Wang Nedim Lipka Ryan A Rossi Alexa Siu Ruiyi Zhang Tyler Derr
Arxiv

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu Wang Olivera Kotevska Philip S Yu Tyler Derr
Arxiv

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.