MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

30 September 2022

Papers citing "MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization"

27 / 27 papers shown

Title
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning Anirudhan Badrinath Alex Yang Kousik Rajesh Prabhat Agarwal Jaewon Yang Haoyu Chen Jiajing Xu Charles R. Rosenberg AI4TS 31 0 0 22 Apr 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNs Li Ju Xingyi Yang Qi Li Xinchao Wang 56 0 0 26 Feb 2025
Training MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 78 5 0 05 Dec 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos 39 0 0 31 Oct 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo Yuhan Chen Siya Qiu Yiwei Wang Chen Zhang Yan Zhou Xiaochun Cao Jing Tang AAML 36 2 0 22 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 37 1 0 07 Oct 2024
Promoting Fairness in Link Prediction with Graph Enhancement Yezi Liu Hanning Chen Mohsen Imani 33 1 0 13 Sep 2024
E-CGL: An Efficient Continual Graph Learner Jianhao Guo Zixuan Ni Yun Zhu Siliang Tang CLL 37 0 0 18 Aug 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 39 1 0 26 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 37 5 0 10 Jul 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 75 44 0 26 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 50 1 0 17 Jun 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks Shuai Wang David W. Zhang Jia-Hong Huang S. Rudinac Monika Kackovic N. Wijnberg M. Worring 34 1 0 22 May 2024
LiGNN: Graph Neural Networks at LinkedIn Fedor Borisyuk Shihai He Yunbo Ouyang Morteza Ramezani Peng Du ... David Stein Baolei Li Haichao Wei Amol Ghoting Souvik Ghosh GNN 37 11 0 17 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh V. Chawla AI4CE 18 3 0 15 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 34 0 0 14 Feb 2024
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu A. Luu Xavier Bresson Neil Shah Tong Zhao GNN 29 8 0 18 Dec 2023
On the Initialization of Graph Neural Networks Jiahang Li Ya-Zhi Song Xiang Song David Wipf GNN 15 5 0 05 Dec 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 38 0 0 26 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 40 18 0 18 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 54 0 0 29 Sep 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 43 78 0 19 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 31 7 0 12 Jun 2023
Editable Graph Neural Network for Node Classifications Zirui Liu Zhimeng Jiang Shaochen Zhong Kaixiong Zhou Li Li Rui Chen Soo-Hyun Choi Xia Hu 25 6 0 24 May 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 24 51 0 18 Dec 2022
Action Sequence Augmentation for Early Graph-based Anomaly Detection Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng Jiang 45 19 0 20 Oct 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020