Ziwei Zhang - RankMe

93 papers A* 37A 2Journal 51Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning. WWW Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li, Ziwei Zhang
2026	A*	`conf`	Invariant Conditional Molecular Generation Under Distribution Shift. AAAI Chunyu Hu, Tianyin Liao, Yicheng Sui, Ran Zhang, Xiao Wang, Ziwei Zhang
2026	—	`conf`	Invariant Graph Transformer for Out-of-Distribution Generalization. KDD (1) Tianyin Liao, Ziwei Zhang, Yufei Sun, Chunyu Hu, Jianxin Li
2026	J	`jnl`	Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Mingjun Liu, Jiaqi Yuan, Ziwei Zhang, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu
2026	J	`jnl`	TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models. CoRR Tianyin Liao, Chunyu Hu, Yicheng Sui, Xingxuan Zhang, Peng Cui, Jianxin Li, Ziwei Zhang
2026	A*	`conf`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. AAAI Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	Towards Geometry-Consistent Federated Graph Learning. WWW Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo, Chunming Hu
2026	A*	`conf`	Unifying Graph Out-of-Distribution Generalization and Detection through Spectral Contrastive Invariant learning. WWW Tianyin Liao, Ge Lan, Rui Chen, Ran Zhang, Zhiming Chen, Xiao Wang, Ziwei Zhang
2026	J	`jnl`	Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models. CoRR Chuanyue Yu, Jiahui Wang, Yuhan Li, Heng Chang, Ge Lan, Qingyun Sun, Jia Li, Jianxin Li, Ziwei Zhang
2025	J	`jnl`	Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models. CoRR Zhibiao Wang, Yunlong Zhou, Ziwei Zhang, Mengmei Zhang, Shirui Pan, Chunming Hu, Xiao Wang
2025	A*	`conf`	Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation. AAAI Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu
2025	J	`jnl`	Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation. CoRR Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu
2025	J	`jnl`	BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inference. CoRR Tao Yang, Yang Hu, Feihong Lu, Ziwei Zhang, Qingyun Sun, Jianxin Li
2025	—	`conf`	Causal-aware Graph Neural Architecture Search under Distribution Shifts. KDD (2) Peiwen Li, Xin Wang, Zeyang Zhang, Ziwei Zhang, Fang Shen, Jialong Wang, Yang Li, Wenwu Zhu
2025	J	`jnl`	Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. CoRR Yisen Gao, Jiaxin Bai, Tianshi Zheng, Qingyun Sun, Ziwei Zhang, Jianxin Li, Yangqiu Song, Xingcheng Fu
2025	A	`conf`	Frontiers in Graph Machine Learning for the Large Model Era. CIKM Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models. CoRR Yunan Wang, Jianxin Li, Ziwei Zhang
2025	J	`jnl`	GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation. CoRR Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning. CoRR Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Jianxin Li, Ziwei Zhang
2025	J	`jnl`	Invariant Graph Transformer for Out-of-Distribution Generalization. CoRR Tianyin Liao, Ziwei Zhang, Yufei Sun, Chunyu Hu, Jianxin Li
2025	J	`jnl`	Out-of-Distribution Generalization on Graphs: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2025	J	`jnl`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. CoRR Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2024	J	`jnl`	Causal-Aware Graph Neural Architecture Search under Distribution Shifts. CoRR Peiwen Li, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Jialong Wang, Yang Li, Wenwu Zhu
2024	A	`conf`	Customized Cross-device Neural Architecture Search with Images. ICME Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei
2024	A*	`conf`	Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts. AAAI Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei
2024	A*	`conf`	Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. ICML Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu
2024	A*	`conf`	Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization. ICML Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu
2024	J	`jnl`	Exploring the Potential of Large Language Models in Graph Generation. CoRR Yang Yao, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Xu Chu, Yuekui Yang, Wenwu Zhu, Hong Mei
2024	J	`jnl`	Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments. ACM Trans. Inf. Syst. Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu
2024	A*	`conf`	LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? KDD Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu
2024	A*	`conf`	Multimodal Graph Neural Architecture Search under Distribution Shifts. AAAI Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu
2024	A*	`conf`	OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract). ICDE Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2024	J	`jnl`	Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. CoRR Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu
2024	A*	`conf`	Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. KDD Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu
2024	J	`jnl`	Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. CoRR Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu
2024	J	`jnl`	Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision. CoRR Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu
2023	A*	`conf`	Adversarially Robust Neural Architecture Search for Graph Neural Networks. CVPR Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu
2023	J	`jnl`	Adversarially Robust Neural Architecture Search for Graph Neural Networks. CoRR Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu
2023	A*	`conf`	AutoGT: Automated Graph Transformer Architecture Search. ICLR Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu
2023	J	`jnl`	Disentangled Graph Contrastive Learning With Independence Promotion. IEEE Trans. Knowl. Data Eng. Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu
2023	J	`jnl`	Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs. CoRR Yijian Qin, Xin Wang, Ziwei Zhang, Wenwu Zhu
2023	A*	`conf`	Dynamic Heterogeneous Graph Attention Neural Architecture Search. AAAI Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu
2023	J	`jnl`	Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. IEEE Trans. Knowl. Data Eng. Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu
2023	A*	`conf`	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023	J	`jnl`	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023	J	`jnl`	Group-based social diffusion in recommendation. World Wide Web (WWW) Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin
2023	A*	`conf`	Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract). ICDE Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
2023	J	`jnl`	LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? CoRR Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Simin Wu, Wenwu Zhu
2023	J	`jnl`	Large Graph Models: A Perspective. CoRR Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu
2023	J	`jnl`	Long-term multivariate time series forecasting in data centers based on multi-factor separation evolutionary spatial-temporal graph neural networks. Knowl. Based Syst. Fang Shen, Jialong Wang, Ziwei Zhang, Xin Wang, Yue Li, Zhaowei Geng, Bing Pan, Zengyi Lu, Wendy Zhao, Wenwu Zhu
2023	A*	`conf`	Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum. NeurIPS Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu
2023	J	`jnl`	OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. IEEE Trans. Knowl. Data Eng. Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2023	J	`jnl`	Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion. CoRR Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Wenwu Zhu
2023	J	`jnl`	Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. IEEE Trans. Knowl. Data Eng. Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu
2023	A*	`conf`	Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. NeurIPS Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu
2023	A*	`conf`	Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision. NeurIPS Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu
2022	J	`jnl`	Automated Graph Machine Learning: Approaches, Libraries and Directions. CoRR Xin Wang, Ziwei Zhang, Wenwu Zhu
2022	J	`jnl`	Deep Learning on Graphs: A Survey. IEEE Trans. Knowl. Data Eng. Ziwei Zhang, Peng Cui, Wenwu Zhu
2022	A*	`conf`	Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift. NeurIPS Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu
2022	A*	`conf`	Graph Neural Architecture Search Under Distribution Shifts. ICML Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu
2022	J	`jnl`	Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. IEEE Trans. Big Data Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
2022	J	`jnl`	Intention-Aware Sequential Recommendation With Structured Intent Transition. IEEE Trans. Knowl. Data Eng. Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu
2022	—	`conf`	Inter-and-Intra Domain Attention Relational Inference for Rack Temperature Prediction in Data Center. DASFAA (3) Fang Shen, Zhan Li, Bing Pan, Ziwei Zhang, Jialong Wang, Wendy Zhao, Xin Wang, Wenwu Zhu
2022	A*	`conf`	Large-Scale Graph Neural Architecture Search. ICML Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu
2022	A*	`conf`	Learning Invariant Graph Representations for Out-of-Distribution Generalization. NeurIPS Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu
2022	A*	`conf`	Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum. AAAI Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu
2022	J	`jnl`	Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum. CoRR Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu
2022	A*	`conf`	NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search. NeurIPS Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu
2022	J	`jnl`	NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search. CoRR Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu
2022	J	`jnl`	Out-Of-Distribution Generalization on Graphs: A Survey. CoRR Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2022	A*	`conf`	Parametric Visual Program Induction with Function Modularization. ICML Xuguang Duan, Xin Wang, Ziwei Zhang, Wenwu Zhu
2021	J	`jnl`	AutoGL: A Library for Automated Graph Learning. CoRR Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu
2021	A*	`conf`	Automated Machine Learning on Graphs: A Survey. IJCAI Ziwei Zhang, Xin Wang, Wenwu Zhu
2021	J	`jnl`	Automated Machine Learning on Graphs: A Survey. CoRR Ziwei Zhang, Xin Wang, Wenwu Zhu
2021	A*	`conf`	Disentangled Contrastive Learning on Graphs. NeurIPS Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu
2021	J	`jnl`	Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network. CoRR Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
2021	J	`jnl`	OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. CoRR Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2021	J	`jnl`	Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? CoRR Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu
2021	A*	`conf`	Signed Graph Neural Network with Latent Groups. KDD Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu
2020	J	`jnl`	A Simple and General Graph Neural Network with Stochastic Message Passing. CoRR Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu
2020	J	`jnl`	Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. CoRR Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu
2019	A*	`conf`	Robust Graph Convolutional Networks Against Adversarial Attacks. KDD Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu
2018	J	`jnl`	A Note on Spectral Clustering and SVD of Graph Data. CoRR Ziwei Zhang
2018	A*	`conf`	Arbitrary-Order Proximity Preserved Network Embedding. KDD Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu
2018	A*	`conf`	Billion-Scale Network Embedding with Iterative Random Projection. ICDM Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
2018	J	`jnl`	Billion-scale Network Embedding with Iterative Random Projection. CoRR Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
2018	J	`jnl`	Deep Learning on Graphs: A Survey. CoRR Ziwei Zhang, Peng Cui, Wenwu Zhu
2018	J	`jnl`	High-Order Proximity Preserved Embedding for Dynamic Networks. IEEE Trans. Knowl. Data Eng. Dingyuan Zhu, Peng Cui, Ziwei Zhang, Jian Pei, Wenwu Zhu
2018	A*	`conf`	Power-law Distribution Aware Trust Prediction. IJCAI Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
2018	A*	`conf`	TIMERS: Error-Bounded SVD Restart on Dynamic Networks. AAAI Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
2017	J	`jnl`	TIMERS: Error-Bounded SVD Restart on Dynamic Networks. CoRR Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
2016	A*	`conf`	Asymmetric Transitivity Preserving Graph Embedding. KDD Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu