Fast and Deep Graph Neural Networks

AAAI Conference on Artificial Intelligence (AAAI), 2019

20 November 2019

Papers citing "Fast and Deep Graph Neural Networks"

46 / 46 papers shown

Title
MMD-Thinker: Adaptive Multi-Dimensional Thinking for Multimodal Misinformation DetectionMachine-mediated learning (ML), 2025 Junjie Wu Guohong Fu LRM 189 0 0 17 Nov 2025
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees Mohammad Shirzadi Ali Safarpoor Dehkordi Ahad N. Zehmakan 108 0 0 10 Nov 2025
Rapid training of Hamiltonian graph networks using random features Atamert Rahma Chinmay Datar Ana Cukarska Felix Dietrich AI4CE 232 0 0 06 Jun 2025
Efficient quantification on large-scale networksMachine-mediated learning (ML), 2025 Alessio Micheli Alejandro Moreo Marco Podda Fabrizio Sebastiani William Simoni Domenico Tortorella 330 0 0 19 Mar 2025
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 413 2 0 11 Oct 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 216 2 0 30 Jun 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 272 5 0 30 Apr 2024
Topology-aware Embedding Memory for Continual Learning on Expanding NetworksKnowledge Discovery and Data Mining (KDD), 2024 Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 477 11 0 24 Jan 2024
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection Fan Xu Nan Wang Xuezhi Wen Meiqi Gao Chaoqun Guo Xibin Zhao 174 13 0 17 Nov 2023
Modeling Edge Features with Deep Bayesian Graph NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2021 Daniele Atzeni Federico Errica D. Bacciu Alessio Micheli 159 7 0 17 Aug 2023
Edge of stability echo state networksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Andrea Ceni Claudio Gallicchio 184 14 0 05 Aug 2023
Addressing Heterophily in Node Classification with Graph Echo State NetworksNeurocomputing (Neurocomputing), 2023 Alessio Micheli Domenico Tortorella 263 13 0 14 May 2023
What Do GNNs Actually Learn? Towards Understanding their RepresentationsLOG IN (LOG IN), 2023 Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis GNN AI4CE 171 1 0 21 Apr 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 163 0 0 17 Mar 2023
Leave Graphs Alone: Addressing Over-Squashing without Rewiring Adam Santoro Ashish Vaswani 125 15 0 13 Dec 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node RepresentationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 166 9 0 04 Nov 2022
Beyond Homophily with Graph Echo State NetworksThe European Symposium on Artificial Neural Networks (ESANN), 2022 Domenico Tortorella Alessio Micheli 112 4 0 27 Oct 2022
Binary Graph Convolutional Network with Capacity ExplorationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 206 10 0 24 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit LayersNeural Information Processing Systems (NeurIPS), 2022 Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 185 32 0 15 Oct 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth Thomas Liebig GNN 161 16 0 01 Jul 2022
Optimization-Induced Graph Implicit Nonlinear DiffusionInternational Conference on Machine Learning (ICML), 2022 Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 267 44 0 29 Jun 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous PlatformInternational Conference on High Performance Computing (HiPC), 2022 Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 181 17 0 17 Jun 2022
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2022 Yuelin Wang Kai Yi Xinliang Liu Yu Guang Wang Shi Jin 308 43 0 11 Jun 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Yuecai Zhu Fuyuan Lyu Chengming Hu X. Chen Xue Liu AI4TS AI4CE 208 27 0 20 Mar 2022
Euler State Networks: Non-dissipative Reservoir ComputingNeurocomputing (Neurocomputing), 2022 Claudio Gallicchio 182 2 0 17 Mar 2022
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification Jianpeng Liao Qian Tao Jun Yan GNN 152 3 0 27 Jan 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 255 12 0 13 Jan 2022
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 398 17 0 12 Nov 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 153 19 0 27 Oct 2021
Dynamic Graph Echo State Networks Domenico Tortorella Alessio Micheli 234 11 0 16 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 264 9 0 05 Oct 2021
Identifying Non-Control Security-Critical Data through Program Dependence Learning Zhilong Wang Haizhou Wang Hong Hu Peng Liu AAML 112 0 0 27 Aug 2021
Continuous-Depth Neural Models for Dynamic Graph Prediction Michael Poli Stefano Massaroli Clayton M. Rabideau Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 120 8 0 22 Jun 2021
Convergent Graph SolversInternational Conference on Learning Representations (ICLR), 2021 Junyoung Park J. Choo Jinkyoo Park 136 16 0 03 Jun 2021
Phase Transition AdaptationIEEE International Joint Conference on Neural Network (IJCNN), 2021 Claudio Gallicchio Alessio Micheli Luca Silvestri 167 3 0 20 Apr 2021
Pyramidal Reservoir Graph Neural NetworkNeurocomputing (Neurocomputing), 2021 F. Bianchi Claudio Gallicchio Alessio Micheli GNN 98 16 0 10 Apr 2021
A Review of Designs and Applications of Echo State Networks Chenxi Sun Moxian Song linda Qiao Hongyan Li AAML 88 42 0 05 Dec 2020
Bi-GCN: Binary Graph Convolutional Network Junfu Wang Yunhong Wang Zhen Yang Liang Yang Yuanfang Guo GNN 117 64 0 15 Oct 2020
Implicit Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2020 Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 237 168 0 14 Sep 2020
Hierarchical Message-Passing Graph Neural NetworksData mining and knowledge discovery (DMKD), 2020 Zhiqiang Zhong Cheng-Te Li Jun Pang 266 67 0 08 Sep 2020
Ring Reservoir Neural Networks for Graphs Claudio Gallicchio Alessio Micheli GNN 100 13 0 11 May 2020
Deep Randomized Neural Networks Claudio Gallicchio Simone Scardapane OOD 216 71 0 27 Feb 2020
A Gentle Introduction to Deep Learning for GraphsNeural Networks (NN), 2019 D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 243 303 0 29 Dec 2019
Graph Neural Ordinary Differential Equations Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 494 196 0 18 Nov 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling F. Bianchi Daniele Grattarola Cesare Alippi GNN 419 44 0 30 Jun 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 707 455 0 05 Jan 2019