Hanchen Wang - RankMe

55 papers A* 12A 1B 1Misc 2Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Accelerating K-Core Computation in Temporal Graphs. EDBT Zhuo Ma, Dong Wen, Hanchen Wang, Wentao Li, Wenjie Zhang, Lu Qin
2026	J	`jnl`	Finding critical users in social networks with reinforcement learning. Inf. Sci. Xulu Gong, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Kecheng Wang, Xubo Wang, Ying Zhang
2026	J	`jnl`	RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning. CoRR Wei Huang, Hanchen Wang, Dong Wen, Xin Cao, Ying Zhang, Wenjie Zhang
2026	J	`jnl`	Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification. CoRR Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang
2025	J	`jnl`	AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models. CoRR Yuanyuan Xu, Hanchen Wang, Wenjie Zhang, Lexing Xie, Yin Chen, Flora Salim, Ying Zhang, Justin Gooding, Toby Walsh
2025	A*	`conf`	AIGC for Graphs: Current Techniques and Future Trends. ICDE Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang
2025	J	`jnl`	Accelerating K-Core Computation in Temporal Graphs. CoRR Zhuo Ma, Dong Wen, Hanchen Wang, Wentao Li, Wenjie Zhang, Xuemin Lin
2025	Misc	`conf`	Computing Historical k-Core in Parallel. ADC Zhuo Ma, Wei Huang, Dong Wen, Hanchen Wang, Zhengyi Yang
2025	J	`jnl`	Correction to: IGFM: An Enhanced Graph Similarity Computation Method with Fine‑Grained Analysis. Data Sci. Eng. Min Pei, Jianke Yu, Chen Chen, Hanchen Wang, Xiaoyang Wang, Ying Zhang
2025	A*	`conf`	Covering K-Cliques in Billion-Scale Graphs. WWW Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin
2025	J	`jnl`	DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching. CoRR Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Xuemin Lin
2025	J	`jnl`	Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach. Proc. VLDB Endow. Qiuyu Guo, Jianye Yang, Wenjie Zhang, Hanchen Wang, Ying Zhang, Xuemin Lin
2025	J	`jnl`	FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation. CoRR Runze Li, Hanchen Wang, Wenjie Zhang, Binghao Li, Yu Zhang, Xuemin Lin, Ying Zhang
2025	A	`conf`	Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction. CIKM Ting Li, Hanchen Wang, Yiran Li, Xiaolei Liu
2025	J	`jnl`	HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis. CoRR Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Lu Qin, Wenjie Zhang
2025	J	`jnl`	IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis. Data Sci. Eng. Min Pei, Jianke Yu, Chen Chen, Hanchen Wang, Xiaoyang Wang, Ying Zhang
2025	J	`jnl`	Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications. CoRR Guangxin Su, Hanchen Wang, Jianwei Wang, Wenjie Zhang, Ying Zhang, Jian Pei
2025	J	`jnl`	Machine Learning for Graph Data Management and Query Processing. Proc. VLDB Endow. Hanchen Wang, Ying Zhang, Wenjie Zhang
2025	J	`jnl`	RIDA: a robust attack framework on incomplete graphs. World Wide Web (WWW) Jianke Yu, Hanchen Wang, Chen Chen, Xiaoyang Wang, Lu Qin, Wenjie Zhang, Ying Zhang, Xijuan Liu
2025	A*	`conf`	Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks. ICDE Peilun Yang, Hanchen Wang, Zhangyi Xu, Zhengping Qian, Yongheng Wang, Ying Zhang
2025	J	`jnl`	Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. IEEE Trans. Knowl. Data Eng. Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Bailin Yang
2025	J	`jnl`	Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN. CoRR Wei Huang, Hanchen Wang, Dong Wen, Shaozhen Ma, Wenjie Zhang, Xuemin Lin
2025	J	`jnl`	UniCom: Towards a Unified and Cohesiveness-aware Framework for Community Search and Detection. CoRR Yifan Zhu, Hanchen Wang, Wenjie Zhang, Alexander Zhou, Ying Zhang
2025	J	`jnl`	WOCD: A Semi-Supervised Method for Overlapping Community Detection Using Weak Cliques. CoRR Shaozhen Ma, Hanchen Wang, Dong Wen, Wenjie Zhang, Wei Huang, Ying Zhang
2024	A*	`conf`	Bipartite Graph Analytics: Current Techniques and Future Trends. ICDE Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang
2024	J	`jnl`	Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning. CoRR Guangxin Su, Yifan Zhu, Wenjie Zhang, Hanchen Wang, Ying Zhang
2024	J	`jnl`	Deep Learning Approaches for Similarity Computation: A Survey. IEEE Trans. Knowl. Data Eng. Peilun Yang, Hanchen Wang, Jianye Yang, Zhengping Qian, Ying Zhang, Xuemin Lin
2024	J	`jnl`	Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. IEEE Trans. Knowl. Data Eng. Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin
2024	A*	`conf`	GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. ICDM Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang
2024	J	`jnl`	Influence maximization on hypergraphs via multi-hop influence estimation. Inf. Process. Manag. Xulu Gong, Hanchen Wang, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Ying Zhang
2024	A*	`conf`	Neural Similarity Search on Supergraph Containment (Extended Abstract). ICDE Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin
2024	J	`jnl`	Neural Similarity Search on Supergraph Containment. IEEE Trans. Knowl. Data Eng. Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin
2024	J	`jnl`	RIDA: A Robust Attack Framework on Incomplete Graphs. CoRR Jianke Yu, Hanchen Wang, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang
2024	J	`jnl`	STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. CoRR Lincan Li, Hanchen Wang, Wenjie Zhang, Adelle Coster
2024	J	`jnl`	Simple and deep graph attention networks. Knowl. Based Syst. Guangxin Su, Hanchen Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin
2024	Misc	`conf`	TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data. ADC Zuocheng Ding, Yufan Chen, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang
2023	J	`jnl`	Bipartite graph capsule network. World Wide Web (WWW) Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang
2023	J	`jnl`	FPGN: follower prediction framework for infectious disease prevention. World Wide Web (WWW) Jianke Yu, Xianhang Zhang, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang
2023	A*	`conf`	Group-based Fraud Detection Network on e-Commerce Platforms. KDD Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang
2022	—	`conf`	Neural Subgraph Counting with Wasserstein Estimator. SIGMOD Conference Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang
2022	J	`jnl`	Polarity-based graph neural network for sign prediction in signed bipartite graphs. World Wide Web Xianhang Zhang, Hanchen Wang, Jianke Yu, Chen Chen, Xiaoyang Wang, Wenjie Zhang
2022	J	`jnl`	Powerful graph of graphs neural network for structured entity analysis. World Wide Web Hanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen, Xiaoyang Wang
2022	A*	`conf`	Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. ICDE Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin
2022	J	`jnl`	Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. CoRR Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin
2022	A*	`conf`	TMN: Trajectory Matching Networks for Predicting Similarity. ICDE Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang
2021	J	`jnl`	Binarized graph neural network. World Wide Web Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin
2021	—	`—`	Designing Machine Learning Models for Graph Analytics Hanchen Wang
2021	J	`jnl`	EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search. VLDB J. Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin, Xuemin Lin
2021	A*	`conf`	T3S: Effective Representation Learning for Trajectory Similarity Computation. ICDE Peilun Yang, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin
2020	J	`jnl`	Binarized Graph Neural Network. CoRR Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin
2020	A*	`conf`	GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. IJCAI Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
2020	J	`jnl`	GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. CoRR Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
2020	—	`conf`	I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space. DASFAA (3) Wanqi Liu, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang
2019	A*	`conf`	I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space. ICDE Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin
2019	—	`conf`	Skyline Nearest Neighbor Search on Multi-layer Graphs. ICDE Workshops Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang