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Graph-adaptive Rectified Linear Unit for Graph Neural Networks

Graph-adaptive Rectified Linear Unit for Graph Neural Networks

The Web Conference (WWW), 2022
13 February 2022
Yifei Zhang
Hao Zhu
Ziqiao Meng
Piotr Koniusz
Irwin King
ArXiv (abs)PDFHTML

Papers citing "Graph-adaptive Rectified Linear Unit for Graph Neural Networks"

13 / 13 papers shown
Title
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsThe Web Conference (WWW), 2025
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
307
2
0
22 Feb 2025
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
Krishna Sri Ipsit Mantri
Xinzhi Wang
Carola-Bibiane Schönlieb
Bruno Ribeiro
Beatrice Bevilacqua
Moshe Eliasof
GNN
233
2
0
02 Jul 2024
Degree-based stratification of nodes in Graph Neural Networks
Degree-based stratification of nodes in Graph Neural NetworksAsian Conference on Machine Learning (ACML), 2023
Ameen Ali
Hakan Çevikalp
Lior Wolf
150
0
0
16 Dec 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
FedHGN: A Federated Framework for Heterogeneous Graph Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Xinyu Fu
Irwin King
FedML
141
7
0
16 May 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and PrivacyThe Web Conference (WWW), 2023
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
320
61
0
21 Feb 2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in
  Traffic Forecasting
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic ForecastingInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2023
Arian Prabowo
Wei Shao
Hao Xue
Piotr Koniusz
Flora D. Salim
AI4TS
177
18
0
20 Feb 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and BeyondAAAI Conference on Artificial Intelligence (AAAI), 2022
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
184
122
0
02 Dec 2022
Uncertainty-DTW for Time Series and Sequences
Uncertainty-DTW for Time Series and SequencesEuropean Conference on Computer Vision (ECCV), 2022
Lei Wang
Piotr Koniusz
215
44
0
30 Oct 2022
HICF: Hyperbolic Informative Collaborative Filtering
HICF: Hyperbolic Informative Collaborative FilteringKnowledge Discovery and Data Mining (KDD), 2022
Menglin Yang
Zhihao Li
Min Zhou
Jiahong Liu
Irwin King
143
66
0
19 Jul 2022
Graph Component Contrastive Learning for Concept Relatedness Estimation
Graph Component Contrastive Learning for Concept Relatedness EstimationAAAI Conference on Artificial Intelligence (AAAI), 2022
Yueen Ma
Zixing Song
Xuming Hu
Jingjing Li
Yifei Zhang
Irwin King
192
13
0
25 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive LearningKnowledge Discovery and Data Mining (KDD), 2022
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
253
108
0
09 Jun 2022
Contrastive Laplacian Eigenmaps
Contrastive Laplacian EigenmapsNeural Information Processing Systems (NeurIPS), 2022
Hao Zhu
Ke Sun
Piotr Koniusz
185
52
0
14 Jan 2022
Improving Few-shot Learning by Spatially-aware Matching and
  CrossTransformer
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformerAsian Conference on Computer Vision (ACCV), 2020
Hongguang Zhang
Juil Sock
Piotr Koniusz
ViT
210
5
0
06 Jan 2020
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