Asymmetric Transitivity Preserving Graph Embedding. - Mingdong Ou; Peng Cui 001; Jian Pei 001; Ziwei Zhang 001; Wenwu Zhu 001 (KDD, 2016)

TIMERS: Error-Bounded SVD Restart on Dynamic Networks. - Ziwei Zhang 001; Peng Cui 001; Jian Pei 001; Xiao Wang 017; Wenwu Zhu 001 (AAAI, 2018)

Billion-Scale Network Embedding with Iterative Random Projection. - Ziwei Zhang 001; Peng Cui 001; Haoyang Li 001; Xiao Wang 017; Wenwu Zhu 001 (ICDM, 2018)

Power-law Distribution Aware Trust Prediction. - Xiao Wang 017; Ziwei Zhang 001; Jing Wang 023; Peng Cui 001; Shiqiang Yang (IJCAI, 2018)

Arbitrary-Order Proximity Preserved Network Embedding. - Ziwei Zhang 001; Peng Cui 001; Xiao Wang 017; Jian Pei 001; Xuanrong Yao; Wenwu Zhu 001 (KDD, 2018)

A Note on Spectral Clustering and SVD of Graph Data. - Ziwei Zhang 001 (CoRR, 2018)

High-Order Proximity Preserved Embedding for Dynamic Networks. - Dingyuan Zhu; Peng Cui 001; Ziwei Zhang 001; Jian Pei 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2018)

Robust Graph Convolutional Networks Against Adversarial Attacks. - Dingyuan Zhu; Ziwei Zhang 001; Peng Cui 001; Wenwu Zhu 001 (KDD, 2019)

A Simple and General Graph Neural Network with Stochastic Message Passing. - Ziwei Zhang 001; Chenhao Niu; Peng Cui 001; Bo Zhang 056; Wei Cui; Wenwu Zhu 001 (CoRR, 2020)

Automated Machine Learning on Graphs: A Survey. - Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (IJCAI, 2021)

Signed Graph Neural Network with Latent Groups. - Haoxin Liu 002; Ziwei Zhang 001; Peng Cui 001; Yafeng Zhang; Qiang Cui; Jiashuo Liu; Wenwu Zhu 001 (KDD, 2021)

Disentangled Contrastive Learning on Graphs. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Zehuan Yuan; Hang Li; Wenwu Zhu 001 (NeurIPS, 2021)

AutoGL: A Library for Automated Graph Learning. - Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Heng Chang; Zeyang Zhang 001; Yijian Qin; Jiyan Jiang; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2021)

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? - Ziwei Zhang 001; Xin Wang 019; Zeyang Zhang 001; Peng Cui 001; Wenwu Zhu 001 (CoRR, 2021)

Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum. - Zeyang Zhang 001; Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (AAAI, 2022)

Inter-and-Intra Domain Attention Relational Inference for Rack Temperature Prediction in Data Center. - Fang Shen; Zhan Li; Bing Pan; Ziwei Zhang 001; Jialong Wang; Wendy Zhao; Xin Wang 019; Wenwu Zhu 001 (DASFAA (3), 2022)

Parametric Visual Program Induction with Function Modularization. - Xuguang Duan; Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (ICML, 2022)

Large-Scale Graph Neural Architecture Search. - Chaoyu Guan; Xin Wang 019; Hong Chen 011; Ziwei Zhang 001; Wenwu Zhu 001 (ICML, 2022)

Graph Neural Architecture Search Under Distribution Shifts. - Yijian Qin; Xin Wang 019; Ziwei Zhang 001; Pengtao Xie; Wenwu Zhu 001 (ICML, 2022)

Learning Invariant Graph Representations for Out-of-Distribution Generalization. - Haoyang Li 001; Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (NeurIPS, 2022)

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search. - Yijian Qin; Ziwei Zhang 001; Xin Wang 019; Zeyang Zhang 001; Wenwu Zhu 001 (NeurIPS, 2022)

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Zhou Qin; Wenwu Zhu 001 (NeurIPS, 2022)

Automated Graph Machine Learning: Approaches, Libraries and Directions. - Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (CoRR, 2022)

Out-Of-Distribution Generalization on Graphs: A Survey. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (CoRR, 2022)

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. - Ruobing Xie; Qi Liu 050; Shukai Liu; Ziwei Zhang 001; Peng Cui 001; Bo Zhang 056; Leyu Lin (IEEE Trans. Big Data, 2022)

Intention-Aware Sequential Recommendation With Structured Intent Transition. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Jianxin Ma; Peng Cui 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Deep Learning on Graphs: A Survey. - Ziwei Zhang 001; Peng Cui 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Dynamic Heterogeneous Graph Attention Neural Architecture Search. - Zeyang Zhang 001; Ziwei Zhang 001; Xin Wang 019; Yijian Qin; Zhou Qin; Wenwu Zhu 001 (AAAI, 2023)

Adversarially Robust Neural Architecture Search for Graph Neural Networks. - Beini Xie; Heng Chang; Ziwei Zhang 001; Xin Wang 019; Daixin Wang; Zhiqiang Zhang 012; Rex Ying; Wenwu Zhu 001 (CVPR, 2023)

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Jianxin Ma; Peng Cui 001; Wenwu Zhu 001 (ICDE, 2023)

AutoGT: Automated Graph Transformer Architecture Search. - Zizhao Zhang; Xin Wang 019; Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Wenwu Zhu 001 (ICLR, 2023)

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum. - Yijian Qin; Xin Wang 019; Ziwei Zhang 001; Hong Chen 011; Wenwu Zhu 001 (NeurIPS, 2023)

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. - Haonan Yuan; Qingyun Sun; Xingcheng Fu; Ziwei Zhang 001; Cheng Ji 001; Hao Peng 001; Jianxin Li 002 (NeurIPS, 2023)

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Zhou Qin; Weigao Wen; Hui Xue 001; Haoyang Li 001; Wenwu Zhu 001 (NeurIPS, 2023)

Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Guangyao Shen; Shiqi Shen; Wenwu Zhu 001 (NeurIPS, 2023)

Large Graph Models: A Perspective. - Ziwei Zhang 001; Haoyang Li 001; Zeyang Zhang 001; Yijian Qin; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2023)

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Yijian Qin; Simin Wu; Wenwu Zhu 001 (CoRR, 2023)

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs. - Yijian Qin; Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (CoRR, 2023)

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Wenwu Zhu 001 (CoRR, 2023)

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. - Ziwei Zhang 001; Peng Cui 001; Jian Pei 001; Xin Wang 019; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. - Ziwei Zhang 001; Chenhao Niu; Peng Cui 001; Jian Pei 001; Bo Zhang 056; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Group-based social diffusion in recommendation. - Xumin Chen; Ruobing Xie; Zhijie Qiu; Peng Cui 001; Ziwei Zhang 001; Shukai Liu; Shiqiang Yang; Bo Zhang 056; Leyu Lin (World Wide Web (WWW), 2023)

Disentangled Graph Contrastive Learning With Independence Promotion. - Haoyang Li 001; Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Long-term multivariate time series forecasting in data centers based on multi-factor separation evolutionary spatial-temporal graph neural networks. - Fang Shen; Jialong Wang; Ziwei Zhang 001; Xin Wang 019; Yue Li; Zhaowei Geng; Bing Pan; Zengyi Lu; Wendy Zhao; Wenwu Zhu 001 (Knowl. Based Syst., 2023)

Multimodal Graph Neural Architecture Search under Distribution Shifts. - Jie Cai 002; Xin Wang 019; Haoyang Li 001; Ziwei Zhang 001; Wenwu Zhu 001 (AAAI, 2024)

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts. - Yang Yao 003; Xin Wang 019; Yijian Qin; Ziwei Zhang 001; Wenwu Zhu 001; Hong Mei 001 (AAAI, 2024)

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract). - Haoyang Li 001; Xin Wang 019; Ziwei Zhang 001; Wenwu Zhu 001 (ICDE, 2024)

Customized Cross-device Neural Architecture Search with Images. - Yang Yao 003; Xin Wang 019; Yijian Qin; Ziwei Zhang 001; Wenwu Zhu 001; Hong Mei 001 (ICME, 2024)

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization. - Haoyang Li 001; Xin Wang 019; Zeyang Zhang 001; Haibo Chen 008; Ziwei Zhang 001; Wenwu Zhu 001 (ICML, 2024)

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. - Zeyang Zhang 001; Xin Wang 019; Yijian Qin; Hong Chen 011; Ziwei Zhang 001; Xu Chu; Wenwu Zhu 001 (ICML, 2024)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. - Beini Xie; Heng Chang; Ziwei Zhang 001; Zeyang Zhang 001; Simin Wu; Xin Wang 019; Yuan Meng; Wenwu Zhu 001 (KDD, 2024)

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Yijian Qin; Wenwu Zhu 001 (KDD, 2024)

Exploring the Potential of Large Language Models in Graph Generation. - Yang Yao 003; Xin Wang 019; Zeyang Zhang 001; Yijian Qin; Ziwei Zhang 001; Xu Chu; Yuekui Yang; Wenwu Zhu 001; Hong Mei 001 (CoRR, 2024)

Causal-Aware Graph Neural Architecture Search under Distribution Shifts. - Peiwen Li; Xin Wang 019; Zeyang Zhang 001; Yijian Qin; Ziwei Zhang 001; Jialong Wang; Yang Li 104; Wenwu Zhu 001 (CoRR, 2024)

Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments. - Haoyang Li 001; Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (ACM Trans. Inf. Syst., 2024)

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation. - Chendi Ge; Xin Wang 019; Ziwei Zhang 001; Yijian Qin; Hong Chen 011; Haiyang Wu; Yang Zhang; Yuekui Yang; Wenwu Zhu 001 (AAAI, 2025)

BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inference. - Tao Yang; Yang Hu; Feihong Lu; Ziwei Zhang 001; Qingyun Sun; Jianxin Li 002 (CoRR, 2025)

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. - Yisen Gao; Jiaxin Bai; Tianshi Zheng; Qingyun Sun; Ziwei Zhang 001; Jianxin Li 002; Yangqiu Song; Xingcheng Fu (CoRR, 2025)