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1908.05081
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AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
International Conference on Learning Representations (ICLR), 2019
14 August 2019
Ke Sun
Zhanxing Zhu
Zhouchen Lin
GNN
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Papers citing
"AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models"
44 / 44 papers shown
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Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
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Zhiling Cai
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Boosting Relational Deep Learning with Pretrained Tabular Models
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Antonio Longa
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KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
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Xiaojun Xu
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Alok Lal
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Bin Yu
Bo Li
215
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10 Oct 2024
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
ACM Multimedia (ACM MM), 2023
Jinhui Pang
Zixuan Wang
Jiliang Tang
Mingyan Xiao
Nan Yin
OOD
272
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17 Aug 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs
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Sihao Liu
Weichen Zhao
219
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30 May 2024
ReconBoost: Boosting Can Achieve Modality Reconcilement
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Cong Hua
Qianqian Xu
Shilong Bao
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Qingming Huang
226
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15 May 2024
A novel hybrid time-varying graph neural network for traffic flow forecasting
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Bao-Lin Ye
Lingxi Li
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268
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COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
AAAI Conference on Artificial Intelligence (AAAI), 2023
Hao Tian
Sourav Medya
Wei Ye
384
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0
14 Dec 2023
Mixture of Weak & Strong Experts on Graphs
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Hanjia Lyu
Diyi Hu
Yinglong Xia
Jiebo Luo
347
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09 Nov 2023
Prioritized Propagation in Graph Neural Networks
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Minjie Chen
Xiang Li
Caihua Shan
Ming Gao
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206
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MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
International Conference on Learning Representations (ICLR), 2023
Haitian Jiang
Renjie Liu
Xiao Yan
Zhenkun Cai
Minjie Wang
David Wipf
Minjie Wang
David Wipf
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296
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19 Oct 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
Journal of the American Statistical Association (JASA), 2023
Wenzhuo Zhou
Annie Qu
Keiland W Cooper
Norbert Fortin
Babak Shahbaba
365
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0
23 Sep 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field
Kun Wang
Guohao Li
Shilong Wang
Guibin Zhang
Kaidi Wang
Yang You
Xiaojiang Peng
Yuxuan Liang
Yang Wang
253
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Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
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Hongyuan Zhang
Yanan Zhu
Xuelong Li
246
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20 Apr 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhaoliang Chen
Zhihao Wu
Zhe-Hui Lin
Shiping Wang
Claudia Plant
Wenzhong Guo
237
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14 Apr 2023
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
Jiawei Zhang
LRM
419
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10 Apr 2023
GNN-Ensemble: Towards Random Decision Graph Neural Networks
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Mu Qiao
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204
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GANN: Graph Alignment Neural Network for Semi-Supervised Learning
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Linxuan Song
Wenxuan Tu
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205
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Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
International Conference on Learning Representations (ICLR), 2023
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
318
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03 Feb 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shiping Wang
Zhihao Wu
Yuhong Chen
Yongzhe Chen
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205
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11 Jan 2023
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F. Hu
Zhaohong Deng
Zhenping Xie
K. Choi
Shitong Wang
298
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30 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Neural Information Processing Systems (NeurIPS), 2022
Keyu Duan
Zirui Liu
Peihao Wang
Wenqing Zheng
Kaixiong Zhou
Tianlong Chen
Helen Zhou
Zinan Lin
GNN
259
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14 Oct 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zhichun Guo
Chunhui Zhang
Yujie Fan
Yijun Tian
Chuxu Zhang
Nitesh Chawla
270
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Mixed Graph Contrastive Network for Semi-Supervised Node Classification
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Xihong Yang
Yue Liu
Sihang Zhou
Xinwang Liu
En Zhu
Sihang Zhou
Xinwang Liu
En Zhu
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365
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Multi-scale Graph Convolutional Networks with Self-Attention
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Jia Cai
GNN
224
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SStaGCN: Simplified stacking based graph convolutional networks
Jia Cai
Zhilong Xiong
Shaogao Lv
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234
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Improving Peer Assessment with Graph Convolutional Networks
Alireza A. Namanloo
Julie Thorpe
Amirali Salehi-Abari
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245
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Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
Jiuhai Chen
Jonas W. Mueller
V. Ioannidis
Soji Adeshina
Yangkun Wang
Tom Goldstein
David Wipf
364
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Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
Frontiers in Neurorobotics (FN), 2021
S. Shi
Kai Qiao
Shuai Yang
Linyuan Wang
Jian Chen
B. Yan
AI4CE
248
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Topological Regularization for Graph Neural Networks Augmentation
Rui Song
Fausto Giunchiglia
Kexin Zhao
Hao Xu
264
12
0
03 Apr 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
360
275
0
26 Feb 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
International Conference on Learning Representations (ICLR), 2021
Sergei Ivanov
Liudmila Prokhorenkova
AI4CE
233
59
0
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AutoGraph: Automated Graph Neural Network
International Conference on Neural Information Processing (ICONIP), 2020
Yaoman Li
Irwin King
GNN
173
52
0
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NodeNet: A Graph Regularised Neural Network for Node Classification
Shrey Dabhi
Manojkumar Somabhai Parmar
GNN
233
12
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Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
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460
33
0
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G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning
Jiawei Zhang
169
2
0
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Adversarial Attack on Hierarchical Graph Pooling Neural Networks
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Guixiang Ma
Yurong Chen
Lei Guo
Wei Wang
Bo Zeng
Chen Tang
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237
32
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Graph Neural Distance Metric Learning with Graph-Bert
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164
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Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification
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123
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Graph-Bert: Only Attention is Needed for Learning Graph Representations
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Haopeng Zhang
Congying Xia
Li Sun
383
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Heterogeneous Deep Graph Infomax
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Bo Liu
Chao Huang
Peng Dai
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227
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19 Nov 2019
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