Weigang Lu

28 papers A* 10Journal 16Unranked 2
YearRankTypeTitle / 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