Ziwei Zhang

According to our database, Ziwei Zhang authored at least 56 papers between 2016 and 2024.

Collaborative distances:

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

2024

Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

ACM Trans. Inf. Syst., January, 2024

Causal-Aware Graph Neural Architecture Search under Distribution Shifts.

Peiwen Li, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Jialong Wang, Yang Li, Wenwu Zhu

CoRR, 2024

Exploring the Potential of Large Language Models in Graph Generation.

Yang Yao, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Xu Chu, Yuekui Yang, Wenwu Zhu, Hong Mei

CoRR, 2024

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification.

Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet.

Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu

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

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization.

Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu

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

Customized Cross-device Neural Architecture Search with Images.

Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract).

Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts.

Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei

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

Multimodal Graph Neural Architecture Search under Distribution Shifts.

Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu

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

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, Xin Wang, Yue Li, Zhaowei Geng, Bing Pan, Zengyi Lu, Wendy Zhao, Wenwu Zhu

Knowl. Based Syst., November, 2023

Disentangled Graph Contrastive Learning With Independence Promotion.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

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

Group-based social diffusion in recommendation.

Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin

World Wide Web (WWW), July, 2023

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network.

Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

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

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing.

Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu

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

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs.

Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu

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

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Wenwu Zhu

CoRR, 2023

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs.

Yijian Qin, Xin Wang, Ziwei Zhang, Wenwu Zhu

CoRR, 2023

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs?

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Simin Wu, Wenwu Zhu

CoRR, 2023

Large Graph Models: A Perspective.

Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu

CoRR, 2023

Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu

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

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu

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

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li

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

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum.

Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu

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

AutoGT: Automated Graph Transformer Architecture Search.

Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract).

Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Adversarially Robust Neural Architecture Search for Graph Neural Networks.

Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Heterogeneous Graph Attention Neural Architecture Search.

Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu

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

2022

Deep Learning on Graphs: A Survey.

Ziwei Zhang, Peng Cui, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2022

Intention-Aware Sequential Recommendation With Structured Intent Transition.

Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2022

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network.

Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

IEEE Trans. Big Data, 2022

Out-Of-Distribution Generalization on Graphs: A Survey.

Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

CoRR, 2022

Automated Graph Machine Learning: Approaches, Libraries and Directions.

Xin Wang, Ziwei Zhang, Wenwu Zhu

CoRR, 2022

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search.

Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Invariant Graph Representations for Out-of-Distribution Generalization.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Neural Architecture Search Under Distribution Shifts.

Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu

Proceedings of the International Conference on Machine Learning, 2022

Large-Scale Graph Neural Architecture Search.

Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu

Proceedings of the International Conference on Machine Learning, 2022

Parametric Visual Program Induction with Function Modularization.

Xuguang Duan, Xin Wang, Ziwei Zhang, Wenwu Zhu

Proceedings of the International Conference on Machine Learning, 2022

Inter-and-Intra Domain Attention Relational Inference for Rack Temperature Prediction in Data Center.

Fang Shen, Zhan Li, Bing Pan, Ziwei Zhang, Jialong Wang, Wendy Zhao, Xin Wang, Wenwu Zhu

Proceedings of the Database Systems for Advanced Applications, 2022

Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum.

Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?

Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu

CoRR, 2021

AutoGL: A Library for Automated Graph Learning.

Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

CoRR, 2021

Disentangled Contrastive Learning on Graphs.

Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Signed Graph Neural Network with Latent Groups.

Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu

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

Automated Machine Learning on Graphs: A Survey.

Ziwei Zhang, Xin Wang, Wenwu Zhu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

A Simple and General Graph Neural Network with Stochastic Message Passing.

Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu

CoRR, 2020

2019

Robust Graph Convolutional Networks Against Adversarial Attacks.

Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

High-Order Proximity Preserved Embedding for Dynamic Networks.

Dingyuan Zhu, Peng Cui, Ziwei Zhang, Jian Pei, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2018

A Note on Spectral Clustering and SVD of Graph Data.

Ziwei Zhang

CoRR, 2018

Arbitrary-Order Proximity Preserved Network Embedding.

Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Power-law Distribution Aware Trust Prediction.

Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Billion-Scale Network Embedding with Iterative Random Projection.

Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2018

TIMERS: Error-Bounded SVD Restart on Dynamic Networks.

Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Asymmetric Transitivity Preserving Graph Embedding.

Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016