Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
Networks

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks

18 July 2022

Liang Ding

Papers citing "Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks"

17 / 17 papers shown

Title
Efficient Mixed Precision Quantization in Graph Neural Networks Samir Moustafa Nils M. Kriege Wilfried Gansterer GNN MQ 35 0 0 14 May 2025
Towards Faster and More Compact Foundation Models for Molecular Property Prediction Yasir Ghunaim Andrés Villa Gergo Ignacz Gyorgy Szekely Motasem Alfarra Bernard Ghanem AI4CE 90 0 0 28 Apr 2025
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks Yuntian He Pranav Maneriker Anutam Srinivasan Aditya T. Vadlamani Srinivasan Parthasarathy 33 0 0 28 Oct 2024
On the Feasibility of Fidelity $^-$ for Graph Pruning Yong-Min Shin Won-Yong Shin 36 0 0 17 Jun 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 39 0 0 29 Mar 2024
Robust Subgraph Learning by Monitoring Early Training Representations Sepideh Neshatfar Salimeh Yasaei Sekeh AAML 25 0 0 14 Mar 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei-dong Jin DD 76 40 0 29 Jan 2024
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs Christopher Adnel I. Rekik GNN 33 0 0 27 Dec 2023
Exploring Sparsity in Graph Transformers Chuang Liu Yibing Zhan Xueqi Ma Liang Ding Dapeng Tao Jia Wu Wenbin Hu Bo Du 34 6 0 09 Dec 2023
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket Yuwen Wang Shunyu Liu Kai Chen Tongtian Zhu Jilin Qiao Mengjie Shi Yuanyu Wan Mingli Song 18 6 0 05 Aug 2023
Training Large Language Models Efficiently with Sparsity and Dataflow V. Srinivasan Darshan Gandhi Urmish Thakker R. Prabhakar MoE 33 6 0 11 Apr 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction Bowen Lei Dongkuan Xu Ruqi Zhang Shuren He Bani Mallick 35 6 0 09 Jan 2023
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 26 215 0 14 Feb 2022
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 26 20 0 21 Sep 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 562 0 04 Jan 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 156 377 0 23 Jul 2020