Understanding and Predicting Weight Loss with Mobile Social Networking Data. - Zhiwei Wang 001; Tyler Derr; Dawei Yin; Jiliang Tang (CIKM, 2017)

Signed Node Relevance Measurements. - Tyler Derr; Chenxing Wang; Suhang Wang; Jiliang Tang (CoRR, 2017)

Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. - Tyler Derr; Zhiwei Wang 001; Jiliang Tang (ASONAM, 2018)

Signed Network Modeling Based on Structural Balance Theory. - Tyler Derr; Charu C. Aggarwal; Jiliang Tang (CIKM, 2018)

Signed Graph Convolutional Networks. - Tyler Derr; Yao Ma 001; Jiliang Tang (ICDM, 2018)

Congressional Vote Analysis Using Signed Networks. - Tyler Derr; Jiliang Tang (ICDM Workshops, 2018)

Signed Graph Convolutional Network. - Tyler Derr; Yao Ma 001; Jiliang Tang (CoRR, 2018)

Multi-factor congressional vote prediction. - Hamid Karimi; Tyler Derr; Aaron Brookhouse; Jiliang Tang (ASONAM, 2019)

Balance in Signed Bipartite Networks. - Tyler Derr; Cassidy Johnson; Yi Chang 001; Jiliang Tang (CIKM, 2019)

Deep Adversarial Social Recommendation. - Wenqi Fan; Tyler Derr; Yao Ma 001; Jianping Wang 001; Jiliang Tang; Qing Li 001 (IJCAI, 2019)

Say What I Want: Towards the Dark Side of Neural Dialogue Models. - Haochen Liu; Tyler Derr; Zitao Liu 001; Jiliang Tang (CoRR, 2019)

Characterizing the Decision Boundary of Deep Neural Networks. - Hamid Karimi; Tyler Derr; Jiliang Tang (CoRR, 2019)

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 (AIED (2), 2020)

Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. - Hamid Karimi; Tyler Derr; Jiangtao Huang; Jiliang Tang (EDM, 2020)

Learning from Incomplete Labeled Data via Adversarial Data Generation. - Wentao Wang 006; Tyler Derr; Yao Ma 001; Suhang Wang; Hui Liu 031; Zitao Liu 001; Jiliang Tang (ICDM, 2020)

Deep Graph Learning: Foundations, Advances and Applications. - Yu Rong 001; Tingyang Xu; Junzhou Huang; Wenbing Huang 001; Hong Cheng 001; Yao Ma 001; Yiqi Wang 001; Tyler Derr; Lingfei Wu 001; Tengfei Ma 001 (KDD, 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 (L@S, 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 (TALE, 2020)

Epidemic Graph Convolutional Network. - Tyler Derr; Yao Ma 001; Wenqi Fan; Xiaorui Liu; Charu C. Aggarwal; Jiliang Tang (WSDM, 2020)

Network Analysis with Negative Links. - Tyler Derr (WSDM, 2020)

ROSE: Role-based Signed Network Embedding. - Amin Javari; Tyler Derr; Pouya Esmailian; Jiliang Tang; Kevin Chen-Chuan Chang (WWW, 2020)

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. - Haochen Liu; Zhiwei Wang 001; Tyler Derr; Jiliang Tang (CoRR, 2020)

Self-supervised Learning on Graphs: Deep Insights and New Direction. - Wei Jin 009; Tyler Derr; Haochen Liu; Yiqi Wang 001; Suhang Wang; Zitao Liu 001; Jiliang Tang (CoRR, 2020)

Link and interaction polarity predictions in signed networks. - Tyler Derr; Zhiwei Wang 001; Jamell Dacon; Jiliang Tang (Soc. Netw. Anal. Min., 2020)

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Tyler Derr; Rajiv Ratn Shah (AAAI, 2021)

Deep Adversarial Network Alignment. - Tyler Derr; Hamid Karimi; Xiaorui Liu; Jiejun Xu; Jiliang Tang (CIKM, 2021)

Graph Feature Gating Networks. - Wei Jin 009; Xiaorui Liu; Yao Ma 001; Tyler Derr; Charu C. Aggarwal; Jiliang Tang (CIKM, 2021)

Tree Decomposed Graph Neural Network. - Yu Wang 160; Tyler Derr (CIKM, 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 (HT, 2021)

Interpretable Visual Understanding with Cognitive Attention Network. - Xuejiao Tang; Wenbin Zhang 002; Yi Yu 001; Kea Turner; Tyler Derr; Mengyu Wang; Eirini Ntoutsi (ICANN (1), 2021)

Attacking Black-box Recommendations via Copying Cross-domain User Profiles. - Wenqi Fan; Tyler Derr; Xiangyu Zhao 001; Yao Ma 001; Hui Liu 031; Jianping Wang 001; Jiliang Tang; Qing Li 001 (ICDE, 2021)

Graph Adversarial Attack via Rewiring. - Yao Ma 001; Suhang Wang; Tyler Derr; Lingfei Wu 001; Jiliang Tang (KDD, 2021)

Node Similarity Preserving Graph Convolutional Networks. - Wei Jin 009; Tyler Derr; Yiqi Wang 001; Yao Ma 001; Zitao Liu 001; Jiliang Tang (WSDM, 2021)

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification. - Yu Wang 160; Charu Aggarwal 001; Tyler Derr (CoRR, 2021)

Inferring EHR Utilization Workflows through Audit Logs. - Xinmeng Zhang; Yuying Zhao; Chao Yan; Tyler Derr; You Chen (AMIA, 2022)

Imbalanced Graph Classification via Graph-of-Graph Neural Networks. - Yu Wang 160; Yuying Zhao; Neil Shah; Tyler Derr (CIKM, 2022)

PAS: Privacy Algorithms in Systems. - Philip S. Yu; Olivera Kotevska; Tyler Derr (CIKM, 2022)

Enhancing Individual Fairness through Propensity Score Matching. - Hamid Karimi; Muhammad Fawad Akbar Khan; Haochen Liu; Tyler Derr; Hui Liu 031 (DSAA, 2022)

THINK: Temporal Hypergraph Hyperbolic Network. - Shivam Agarwal; Ramit Sawhney; Megh Thakkar; Preslav Nakov; Jiawei Han 001; Tyler Derr (ICDM, 2022)

Degree-Related Bias in Link Prediction. - Yu Wang 160; Tyler Derr (ICDM (Workshops), 2022)

Decision Boundaries of Deep Neural Networks. - Hamid Karimi; Tyler Derr (ICMLA, 2022)

On Structural Explanation of Bias in Graph Neural Networks. - Yushun Dong; Song Wang 013; Yu Wang 160; Tyler Derr; Jundong Li (KDD, 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 160; Tyler Derr; Benjamin M. Gyori (KDD, 2022)

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. - Yu Wang 160; Yuying Zhao; Yushun Dong; Huiyuan Chen; Jundong Li; Tyler Derr (KDD, 2022)

Collaboration-Aware Graph Convolutional Networks for Recommendation Systems. - Yu Wang 160; Yuying Zhao; Yi Zhang; Tyler Derr (CoRR, 2022)

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. - Yunchao Liu 001; Yu Wang 160; Oanh Vu; Rocco Moretti; Bobby Bodenheimer; Jens Meiler; Tyler Derr (AAAI, 2023)

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. - Yuying Zhao; Yu Wang 160; Tyler Derr (AAAI, 2023)

An Analysis of the Dynamics of Ties on Twitter. - Kiana Kheiri; Muhammad Fawad Akbar Khan; Tyler Derr; Hamid Karimi (IEEE Big Data, 2023)

Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. - Anwar Said; Mudassir Shabbir; Tyler Derr; Waseem Abbas; Xenofon D. Koutsoukos (ICMLA, 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 (NeurIPS, 2023)

The 3rd International Workshop on Machine Learning on Graphs (MLoG). - Tyler Derr; Yao Ma 001; Benedek Rozemberczki; Neil Shah; Shirui Pan (WSDM, 2023)

Collaboration-Aware Graph Convolutional Network for Recommender Systems. - Yu Wang 160; Yuying Zhao; Yi Zhang; Tyler Derr (WWW, 2023)

A Survey of Graph Unlearning. - Anwar Said; Tyler Derr; Mudassir Shabbir; Waseem Abbas; Xenofon D. Koutsoukos (CoRR, 2023)

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. - Wenqi Fan; Xiangyu Zhao 001; Qing Li 001; Tyler Derr; Yao Ma 001; Hui Liu 031; Jianping Wang 001; Jiliang Tang (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge Graph Prompting for Multi-Document Question Answering. - Yu Wang 160; Nedim Lipka; Ryan A. Rossi; Alexa F. Siu; Ruiyi Zhang 002; Tyler Derr (AAAI, 2024)

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. - Yuying Zhao; Yu Wang 160; Yi Zhang; Pamela J. Wisniewski; Charu C. Aggarwal; Tyler Derr (AAAI, 2024)

EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks. - Soheila Farokhi; Arash Azizian Foumani; Xiaojun Qi; Tyler Derr; Hamid Karimi (ASONAM (1), 2024)

Data Quality-aware Graph Machine Learning. - Yu Wang 160; Kaize Ding; Xiaorui Liu; Jian Kang 008; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

Topology-aware Retrieval Augmentation for Text Generation. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

FairNNV: The Neural Network Verification Tool For Certifying Fairness. - Anne M. Tumlin; Diego Manzanas Lopez; Preston Robinette; Yuying Zhao; Tyler Derr; Taylor T. Johnson (ICAIF, 2024)

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. - Yu Wang 160; Tong Zhao 003; Yuying Zhao; Yunchao Liu 001; Xueqi Cheng; Neil Shah; Tyler Derr (ICLR, 2024)

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. - Austin Coursey; Junyi Ji; Marcos Quiñones-Grueiro; William Barbour; Yuhang Zhang 009; Tyler Derr; Gautam Biswas; Daniel B. Work (NeurIPS, 2024)

Robust Graph Neural Networks via Unbiased Aggregation. - Zhichao Hou; Ruiqi Feng; Tyler Derr; Xiaorui Liu (NeurIPS, 2024)

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking. - Yunchao Liu 001; Ha Dong; Xin Wang 061; Rocco Moretti; Yu Wang 160; Zhaoqian Su; Jiawei Gu; Bobby Bodenheimer; Charles David Weaver; Jens Meiler; Tyler Derr (NeurIPS, 2024)

The 5th International Workshop on Machine Learning on Graphs (MLoG). - Tyler Derr; Yao Ma 001; Kaize Ding; Tong Zhao 003; Nesreen K. Ahmed (WSDM, 2024)

Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. - Yu Wang 160; Amin Javari; Janani Balaji; Walid Shalaby; Tyler Derr; Xiquan Cui (WWW (Companion Volume), 2024)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. - Yuying Zhao; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen; Yiwei Cai; Rashidul Islam; Yu Wang 160; Tyler Derr (WWW, 2024)

Knowledge Graph-based Session Recommendation with Adaptive Propagation. - Yu Wang 160; Amin Javari; Janani Balaji; Walid Shalaby; Tyler Derr; Xiquan Cui (CoRR, 2024)

Augmenting Textual Generation via Topology Aware Retrieval. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CoRR, 2024)

Large Generative Graph Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (CoRR, 2024)

A Survey of Mamba. - Haohao Qu; Liangbo Ning 001; Rui An; Wenqi Fan; Tyler Derr; Hui Liu 031; Xin Xu 002; Qing Li 001 (CoRR, 2024)

Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs. - Leyao Wang; Yu Wang 160; Bo Ni; Yuying Zhao; Tyler Derr (CoRR, 2024)

A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. - Xueqi Cheng; Catherine Yang; Yuying Zhao; Yu Wang 160; Hamid Karimi; Tyler Derr (CoRR, 2024)

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. - Yi Zhang; Yuying Zhao; Zhaoqing Li; Xueqi Cheng; Yu Wang 160; Olivera Kotevska; Philip S. Yu; Tyler Derr (IEEE Trans. Knowl. Data Eng., 2024)

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective. - Bo Ni; Yu Wang 160; Lu Cheng; Erik Blasch; Tyler Derr (AAAI, 2025)

Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors. - Austin Coursey; Junyi Ji; Zhiyao Zhang; William Barbour; Marcos Quiñones-Grueiro; Tyler Derr; Gautam Biswas; Daniel B. Work (ICCPS, 2025)

A Large-scale Training Paradigm for Graph Generative Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (ICLR, 2025)

Demystifying the Power of Large Language Models in Graph Generation. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Nesreen K. Ahmed; Danai Koutra; Franck Dernoncourt; Tyler Derr (NAACL (Findings), 2025)

Edge Classification on Graphs: New Directions in Topological Imbalance. - Xueqi Cheng; Yu Wang 160; Yunchao Liu 001; Yuying Zhao; Charu C. Aggarwal; Tyler Derr (WSDM, 2025)

Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors. - Yunchao Liu 001; Rocco Moretti; Yu Wang 160; Ha Dong; Bailu Yan; Bobby Bodenheimer; Tyler Derr; Jens Meiler (J. Chem. Inf. Model., 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. - Bo Ni; Zheyuan Liu 010; Leyao Wang; Yongjia Lei; Yuying Zhao; Xueqi Cheng; Qingkai Zeng 001; Luna Dong; Yinglong Xia; Krishnaram Kenthapadi; Ryan A. Rossi; Franck Dernoncourt; et al. (CoRR, 2025)

Fairness and Diversity in Recommender Systems: A Survey. - Yuying Zhao; Yu Wang 160; Yunchao Liu 001; Xueqi Cheng; Charu C. Aggarwal; Tyler Derr (ACM Trans. Intell. Syst. Technol., 2025)

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation. - Yuying Zhao; Xiaodong Yang; Huiyuan Chen; Xiran Fan; Yu Wang 160; Yiwei Cai; Tyler Derr (CoRR, 2025)

Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs. - Yuying Zhao; Yu Wang 160; Xueqi Cheng; Anne M. Tumlin; Yunchao Liu 001; Damin Xia; Meng Jiang 001; Tyler Derr (CoRR, 2025)

Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation. - Leyao Wang; Xutao Mao; Xuhui Zhan; Yuying Zhao; Bo Ni; Ryan A. Rossi; Nesreen K. Ahmed; Tyler Derr (CoRR, 2025)

Mitigating Distribution Shift in Graph-Based Android Malware Classification via Function Metadata and LLM Embeddings. - Ngoc N. Tran; Anwar Said; Waseem Abbas; Tyler Derr; Xenofon D. Koutsoukos (CoRR, 2025)

Inverse-LLaVA: Eliminating Alignment Pre-training Through Text-to-Vision Mapping. - Xuhui Zhan; Tyler Derr (CoRR, 2025)

Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction. - Qinwen Ge; Roza G. Bayrak; Anwar Said; Catie Chang; Xenofon D. Koutsoukos; Tyler Derr (CoRR, 2025)