Training Graph Neural Networks with 1000 Layers

14 June 2021

Papers citing "Training Graph Neural Networks with 1000 Layers"

50 / 152 papers shown

Title
H $^3$ GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning Rui Xue Tianfu Wu AI4CE 35 0 0 16 Apr 2025
Enhanced Soups for Graph Neural Networks Joseph Zuber Aishwarya Sarkar Joseph Jennings Ali Jannesari 45 0 0 14 Mar 2025
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models Xi Zhu Haochen Xue Ziwei Zhao Wujiang Xu Jingyuan Huang Minghao Guo Qifan Wang Kaixiong Zhou Yongfeng Zhang 53 1 0 05 Mar 2025
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks Jana Vatter Mykhaylo Zayats Marcos Martínez Galindo V. López R. Mayer Hans-Arno Jacobsen Hoang Thanh Lam GNN 43 0 0 27 Feb 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 37 0 0 28 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 51 0 0 27 Dec 2024
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs Sejun Park Joo Young Park Hyunwoo Park AI4CE OOD 29 0 0 17 Nov 2024
Accelerating AI Performance using Anderson Extrapolation on GPUs Saleem Al Dajani David Keyes 23 0 0 25 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 27 0 0 25 Oct 2024
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning Guangxin Su Yifan Zhu Wenjie Zhang Hanchen Wang Ying Zhang 31 1 0 15 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan C. Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 22 0 0 11 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 24 1 0 03 Oct 2024
AnyGraph: Graph Foundation Model in the Wild Lianghao Xia Chao Huang OOD 35 9 0 20 Aug 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 21 1 0 10 Jul 2024
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning Haobo Song Hao Zhao Soumajit Majumder Tao Lin 23 3 0 01 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 54 0 0 01 Jul 2024
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling Zhong Guan Hongke Zhao Likang Wu Ming He Jianpin Fan 27 3 0 19 Jun 2024
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Yi Fang Dongzhe Fan Sirui Ding Ninghao Liu Qiaoyu Tan VLM 26 3 0 17 Jun 2024
Graph Knowledge Distillation to Mixture of Experts P. Rumiantsev Mark Coates 21 0 0 17 Jun 2024
ProG: A Graph Prompt Learning Benchmark Chenyi Zi Haihong Zhao Xiangguo Sun Yiqing Lin Hong Cheng Jia Li 46 9 0 08 Jun 2024
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning Zheng Huang Qihui Yang Dawei Zhou Yujun Yan AI4CE 23 2 0 07 Jun 2024
Highway Value Iteration Networks Yuhui Wang Weida Li Francesco Faccio Qingyuan Wu Jürgen Schmidhuber 32 2 0 05 Jun 2024
Graph Sparsification via Mixture of Graphs Guibin Zhang Xiangguo Sun Yanwei Yue Kun Wang Tianlong Chen Shirui Pan 28 8 0 23 May 2024
Towards Knowledge-Infused Automated Disease Diagnosis Assistant Mohit Tomar Abhisek Tiwari Sriparna Saha MedIm 21 3 0 18 May 2024
Graph Neural Network based Handwritten Trajectories Recognition Anuj Sharma Sukhdeep Singh S. Ratna GNN 21 0 0 15 May 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey Feng Liang Zhen Zhang Haifeng Lu Victor C. M. Leung Yanyi Guo Xiping Hu GNN 29 6 0 09 Apr 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Andrew Zhang DiffM 41 5 0 25 Mar 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks Sukhdeep Singh Anuj Sharma Vinod Kumar Chauhan 23 0 0 22 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 62 1 0 19 Mar 2024
Attention is all you need for boosting graph convolutional neural network Yinwei Wu GNN 23 0 0 10 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 22 5 0 06 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 33 8 0 06 Mar 2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining Yanchao Tan Hang Lv Xin Huang Jiawei Zhang Shiping Wang Carl Yang 37 10 0 02 Mar 2024
Can GNN be Good Adapter for LLMs? Xuanwen Huang Kaiqiao Han Yang Yang Dezheng Bao Quanjin Tao Ziwei Chai Qi Zhu AI4CE 19 37 0 20 Feb 2024
Subgraph-level Universal Prompt Tuning Junhyun Lee Wooseong Yang Jaewoo Kang VLM 14 4 0 16 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 35 7 0 08 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Joey Tianyi Zhou Yang You DD 63 13 0 07 Feb 2024
Similarity-based Neighbor Selection for Graph LLMs Rui Li Jiwei Li Jiawei Han Guoyin Wang 20 3 0 06 Feb 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 30 4 0 03 Feb 2024
Dr $^2$ Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning Chen Zhao Shuming Liu K. Mangalam Guocheng Qian Fatimah Zohra Abdulmohsen Alghannam Jitendra Malik Bernard Ghanem 38 3 0 08 Jan 2024
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 21 0 0 13 Dec 2023
Memory-Efficient Reversible Spiking Neural Networks Hong Zhang Yu Zhang 13 8 0 13 Dec 2023
Efficient Large Language Models Fine-Tuning On Graphs Rui Xue Xipeng Shen Ruozhou Yu Xiaorui Liu 20 4 0 07 Dec 2023
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters Jaeyong Song Hongsun Jang Jaewon Jung Youngsok Kim Jinho Lee GNN 14 0 0 12 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song Ehsanul Kabir Shagufta Mehnaz 11 0 0 03 Nov 2023
Graph Agent: Explicit Reasoning Agent for Graphs Qinyong Wang Zhenxiang Gao Rong Xu AI4CE 21 5 0 25 Oct 2023
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs Yichuan Li Kaize Ding Kyumin Lee SSL 10 24 0 23 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 21 3 0 20 Oct 2023
GraphGPT: Graph Instruction Tuning for Large Language Models Jiabin Tang Yuhao Yang Wei Wei Lei Shi Lixin Su Suqi Cheng Dawei Yin Chao Huang 24 121 0 19 Oct 2023
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 41 4 0 11 Oct 2023