Tyler Derr

According to our database, Tyler Derr authored at least 63 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.

Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr

CoRR, 2024

Knowledge Graph-based Session Recommendation with Adaptive Propagation.

Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui

CoRR, 2024

The 5th International Workshop on Machine Learning on Graphs (MLoG).

Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation.

Yuying Zhao, Yu Wang, Yi Zhang, Pamela Wisniewski, Charu C. Aggarwal, Tyler Derr

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Knowledge Graph Prompting for Multi-Document Question Answering.

Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.

Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang

IEEE Trans. Knowl. Data Eng., December, 2023

Robust Graph Neural Networks via Unbiased Aggregation.

Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu

CoRR, 2023

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.

Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr

CoRR, 2023

A Survey of Graph Unlearning.

Anwar Said, Tyler Derr, Mudassir Shabbir, Waseem Abbas, Xenofon D. Koutsoukos

CoRR, 2023

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

CoRR, 2023

Fairness and Diversity in Recommender Systems: A Survey.

Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr

CoRR, 2023

Collaboration-Aware Graph Convolutional Network for Recommender Systems.

Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr

Proceedings of the ACM Web Conference 2023, 2023

The 3rd International Workshop on Machine Learning on Graphs (MLoG).

Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics.

Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation.

Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos

Proceedings of the International Conference on Machine Learning and Applications, 2023

An Analysis of the Dynamics of Ties on Twitter.

Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, Hamid Karimi

Proceedings of the IEEE International Conference on Big Data, 2023

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations.

Yuying Zhao, Yu Wang, Tyler Derr

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Collaboration-Aware Graph Convolutional Networks for Recommendation Systems.

Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr

CoRR, 2022

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

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, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori

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

On Structural Explanation of Bias in Graph Neural Networks.

Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li

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

Decision Boundaries of Deep Neural Networks.

Hamid Karimi, Tyler Derr

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Degree-Related Bias in Link Prediction.

Yu Wang, Tyler Derr

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

THINK: Temporal Hypergraph Hyperbolic Network.

Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr

Proceedings of the IEEE International Conference on Data Mining, 2022

Enhancing Individual Fairness through Propensity Score Matching.

Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

PAS: Privacy Algorithms in Systems.

Philip S. Yu, Olivera Kotevska, Tyler Derr

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

Imbalanced Graph Classification via Graph-of-Graph Neural Networks.

Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr

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

Inferring EHR Utilization Workflows through Audit Logs.

Xinmeng Zhang, Yuying Zhao, Chao Yan, Tyler Derr, You Chen

Proceedings of the AMIA 2022, 2022

2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification.

Yu Wang, Charu Aggarwal, Tyler Derr

CoRR, 2021

Node Similarity Preserving Graph Convolutional Networks.

Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang

Proceedings of the WSDM '21, 2021

Graph Adversarial Attack via Rewiring.

Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang

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

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.

Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Interpretable Visual Understanding with Cognitive Attention Network.

Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries.

Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Tree Decomposed Graph Neural Network.

Yu Wang, Tyler Derr

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph Feature Gating Networks.

Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Deep Adversarial Network Alignment.

Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach.

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Link and interaction polarity predictions in signed networks.

Tyler Derr, Zhiwei Wang, Jamell Dacon, Jiliang Tang

Soc. Netw. Anal. Min., 2020

Self-supervised Learning on Graphs: Deep Insights and New Direction.

Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang

CoRR, 2020

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models.

Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang

CoRR, 2020

ROSE: Role-based Signed Network Embedding.

Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Network Analysis with Negative Links.

Tyler Derr

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

Epidemic Graph Convolutional Network.

Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang

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

Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest.

Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang

Proceedings of the IEEE International Conference on Teaching, 2020

Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest.

Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Deep Graph Learning: Foundations, Advances and Applications.

Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning from Incomplete Labeled Data via Adversarial Data Generation.

Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network.

Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest.

Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Characterizing the Decision Boundary of Deep Neural Networks.

Hamid Karimi, Tyler Derr, Jiliang Tang

CoRR, 2019

Say What I Want: Towards the Dark Side of Neural Dialogue Models.

Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang

CoRR, 2019

Deep Adversarial Social Recommendation.

Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li

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

Balance in Signed Bipartite Networks.

Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-factor congressional vote prediction.

Hamid Karimi, Tyler Derr, Aaron Brookhouse, Jiliang Tang

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Signed Graph Convolutional Network.

Tyler Derr, Yao Ma, Jiliang Tang

CoRR, 2018

Congressional Vote Analysis Using Signed Networks.

Tyler Derr, Jiliang Tang

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Signed Graph Convolutional Networks.

Tyler Derr, Yao Ma, Jiliang Tang

Proceedings of the IEEE International Conference on Data Mining, 2018

Signed Network Modeling Based on Structural Balance Theory.

Tyler Derr, Charu C. Aggarwal, Jiliang Tang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks.

Tyler Derr, Zhiwei Wang, Jiliang Tang

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Signed Node Relevance Measurements.

Tyler Derr, Chenxing Wang, Suhang Wang, Jiliang Tang

CoRR, 2017

Understanding and Predicting Weight Loss with Mobile Social Networking Data.

Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017