Weigang Lu - RankMe

28 papers A* 10Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Aligning Multiple Knowledge Graphs in A Single Pass. WWW Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang, Jiangtao Cui, Xiaofei He
2026	A*	`conf`	Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph. WWW Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang, Weigang Lu
2026	J	`jnl`	Does noise in the knowledge graph really harm recommendations? Pattern Recognit. Meng Yan, Cai Xu, Ziyu Guan, Wei Zhao, Xujing Wang, Beilei Ling, Weigang Lu
2026	A*	`conf`	MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks. WWW Weigang Lu, Zheng Liang, Yaming Yang, Ziyu Zheng, Meng Yan, Beilei Ling, Ziyu Guan, Wei Zhao
2026	A*	`conf`	ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs. AAAI Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao
2025	A*	`conf`	A Translation-Based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment. ICDE Yaming Yang, Zhuofeng Luo, Zhe Wang, Weigang Lu, Yiheng Lu, Ziyu Guan, Wei Zhao, Yuanhai Lv
2025	A*	`conf`	AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. AAAI Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao
2025	—	`conf`	Discrepancy-Aware Graph Mask Auto-Encoder. KDD (2) Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu
2025	J	`jnl`	Discrepancy-Aware Graph Mask Auto-Encoder. CoRR Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu
2025	—	`conf`	Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs. KDD (2) Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu
2025	J	`jnl`	Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs. CoRR Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu
2025	J	`jnl`	G-NodeMixup: Enhancing graph neural networks reachability under extremely limited labels. Neurocomputing Ziyu Guan, Beilei Ling, Weigang Lu, Meng Yan, Yaming Yang, Wei Zhao, Yibing Zhan, Dapeng Tao
2025	J	`jnl`	Higher-order interactions of multi-layer prompt. CoRR Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang, Weigang Lu
2025	J	`jnl`	ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs. CoRR Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao
2025	J	`jnl`	Pseudo Contrastive Learning for graph-based semi-supervised learning. Neurocomputing Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Lining Xing, Baosheng Yu, Dacheng Tao
2025	A*	`conf`	SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). ICDE Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2024	J	`jnl`	AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. CoRR Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao
2024	A*	`conf`	AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. KDD Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang
2024	J	`jnl`	AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. CoRR Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang
2024	J	`jnl`	Aligning Multiple Knowledge Graphs in a Single Pass. CoRR Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang
2024	A*	`conf`	NodeMixup: Tackling Under-Reaching for Graph Neural Networks. AAAI Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin
2024	J	`jnl`	SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2023	J	`jnl`	Graph Substructure Assembling Network With Soft Sequence and Context Attention. IEEE Trans. Knowl. Data Eng. Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu, Bo Zong
2023	J	`jnl`	NodeMixup: Tackling Under-Reaching for Graph Neural Networks. CoRR Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin
2023	J	`jnl`	Pseudo Contrastive Learning for Graph-based Semi-supervised Learning. CoRR Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Baosheng Yu, Dacheng Tao
2022	A*	`conf`	Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering. NeurIPS Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang
2022	J	`jnl`	Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering. CoRR Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang
2021	J	`jnl`	SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. CoRR Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao