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Adaptive Propagation Graph Convolutional Network
v1v2v3 (latest)

Adaptive Propagation Graph Convolutional Network

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
24 February 2020
Indro Spinelli
Simone Scardapane
A. Uncini
    GNN
ArXiv (abs)PDFHTML

Papers citing "Adaptive Propagation Graph Convolutional Network"

32 / 32 papers shown
ADMP-GNN: Adaptive Depth Message Passing GNN
ADMP-GNN: Adaptive Depth Message Passing GNN
Yassine Abbahaddou
Fragkiskos D. Malliaros
J. Lutzeyer
Michalis Vazirgiannis
GNN
205
2
0
01 Sep 2025
FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
Yunfeng Zhao
Yixin Liu
Shiyuan Li
Qingfeng Chen
Yu Zheng
Shirui Pan
260
6
0
14 Aug 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion ApproachIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Qingfeng Chen
Shiyuan Li
Yixin Liu
Shirui Pan
Geoffrey I. Webb
Shichao Zhang
EDL
365
11
0
16 Jun 2025
Early-Exit Graph Neural Networks
Early-Exit Graph Neural Networks
Andrea Giuseppe Di Francesco
Maria Sofia Bucarelli
F. M. Nardini
R. Perego
Nicola Tonellotto
Fabrizio Silvestri
445
0
0
23 May 2025
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor
  Parallelism
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor ParallelismProceedings of the VLDB Endowment (PVLDB), 2024
Xin Ai
Hao Yuan
Zeyu Ling
Qiange Wang
Yanfeng Zhang
Zhenbo Fu
Chaoyi Chen
Yu Gu
Ge Yu
GNN
420
7
0
29 Dec 2024
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
Ningyi Liao
Zihao Yu
Ruixiao Zeng
Siqiang Luo
GNN
235
0
0
20 Mar 2024
GEN: A Practical Alternative to Graph Transformers for Long-Range Graph Modeling
GEN: A Practical Alternative to Graph Transformers for Long-Range Graph Modeling
Shuo Wang
Ge Cheng
Yun Zhang
AI4CEGNN
385
0
0
02 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
625
20
0
27 Dec 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics
How Graph Neural Networks Learn: Lessons from Training DynamicsInternational Conference on Machine Learning (ICML), 2023
Chenxiao Yang
Qitian Wu
David Wipf
Ruoyu Sun
Junchi Yan
AI4CEGNN
506
2
0
08 Oct 2023
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for
  E-Waste Classification
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste ClassificationInternational Conference on Software Engineering and Computer Systems (ICSECS), 2023
Niful Islam
Humaira Noor
Md. Saddam Hossain Mukta
Nur Shazwani Binti Kamarudin
Mohaimenul Azam Khan Raiaan
Sami Azam
259
19
0
28 Sep 2023
Steering Graph Neural Networks with Pinning Control
Steering Graph Neural Networks with Pinning Control
Acong Zhang
P. Li
Guanrong Chen
LLMSV
235
2
0
02 Mar 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural
  Networks
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural NetworksNeural Networks (Neural Netw.), 2023
Indro Spinelli
Riccardo Bianchini
Simone Scardapane
193
3
0
22 Feb 2023
Mind Reasoning Manners: Enhancing Type Perception for Generalized
  Zero-shot Logical Reasoning over Text
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over TextIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Fangzhi Xu
Jun Liu
Qika Lin
Tianzhe Zhao
Jian Zhang
Lingling Zhang
ReLMLRM
254
4
0
08 Jan 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by
  Bridging GNNs and MLPs
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang
Qitian Wu
Jiahua Wang
Junchi Yan
AI4CE
481
71
0
18 Dec 2022
EGRC-Net: Embedding-induced Graph Refinement Clustering Network
EGRC-Net: Embedding-induced Graph Refinement Clustering NetworkIEEE Transactions on Image Processing (IEEE TIP), 2022
Zhihao Peng
Hui Liu
Yuheng Jia
Xianqiang Lyu
294
14
0
19 Nov 2022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
DFG-NAS: Deep and Flexible Graph Neural Architecture SearchInternational Conference on Machine Learning (ICML), 2022
Wentao Zhang
Zheyu Lin
Yu Shen
Yan Zhao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
181
5
0
17 Jun 2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge
TeKo: Text-Rich Graph Neural Networks with External KnowledgeIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zhizhi Yu
Di Jin
Jianguo Wei
Ziyang Liu
Yue Shang
Yun Xiao
Jiawei Han
Lingfei Wu
219
6
0
15 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks
Model Degradation Hinders Deep Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2022
Wentao Zhang
Zeang Sheng
Ziqi Yin
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
248
55
0
09 Jun 2022
Graph Attention Multi-Layer Perceptron
Graph Attention Multi-Layer PerceptronKnowledge Discovery and Data Mining (KDD), 2022
Wentao Zhang
Ziqi Yin
Zeang Sheng
Yan Zhao
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
263
138
0
09 Jun 2022
PaSca: a Graph Neural Architecture Search System under the Scalable
  Paradigm
PaSca: a Graph Neural Architecture Search System under the Scalable ParadigmThe Web Conference (WWW), 2022
Wentao Zhang
Yu Shen
Zheyu Lin
Yan Zhao
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
358
69
0
01 Mar 2022
Node Dependent Local Smoothing for Scalable Graph Learning
Node Dependent Local Smoothing for Scalable Graph Learning
Wentao Zhang
Mingyu Yang
Zeang Sheng
Yan Zhao
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
284
82
0
27 Oct 2021
A Meta-Learning Approach for Training Explainable Graph Neural Networks
A Meta-Learning Approach for Training Explainable Graph Neural Networks
Indro Spinelli
Simone Scardapane
A. Uncini
357
30
0
20 Sep 2021
Graph Attention MLP with Reliable Label Utilization
Graph Attention MLP with Reliable Label Utilization
Wentao Zhang
Ziqi Yin
Zeang Sheng
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
239
5
0
23 Aug 2021
Evaluating Deep Graph Neural Networks
Evaluating Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
191
35
0
02 Aug 2021
ROD: Reception-aware Online Distillation for Sparse Graphs
ROD: Reception-aware Online Distillation for Sparse GraphsKnowledge Discovery and Data Mining (KDD), 2021
Wentao Zhang
Yuezihan Jiang
Yan Zhao
Zeang Sheng
Yu Shen
Xupeng Miao
Liang Wang
Zhi-Xin Yang
Tengjiao Wang
183
26
0
25 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic
  Filtering
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic FilteringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
214
50
0
10 Jul 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph
  Representation Learning
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Indro Spinelli
Simone Scardapane
Amir Hussain
A. Uncini
FaML
315
114
0
29 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with
  Feature-Message Passing
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
Wentao Zhang
Yu Shen
Zheyu Lin
Yan Zhao
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
195
9
0
20 Apr 2021
Adversarial Graph Disentanglement
Adversarial Graph DisentanglementIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Shuiwang Ji
Yao Zhao
350
11
0
12 Mar 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification
GraphHop: An Enhanced Label Propagation Method for Node ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jia Zhang
Bin Wang
C.-C. Jay Kuo
305
48
0
07 Jan 2021
Stacked Graph Filter
Stacked Graph Filter
Hoang NT
Takanori Maehara
T. Murata
GNN
201
4
0
22 Nov 2020
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph NetsNeural Information Processing Systems (NeurIPS), 2020
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lio
Petar Velickovic
GNN
886
816
0
12 Apr 2020
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