Decoupling the Depth and Scope of Graph Neural Networks

19 January 2022

Papers citing "Decoupling the Depth and Scope of Graph Neural Networks"

50 / 85 papers shown

Title
Scaling Graph Neural Networks for Particle Track Reconstruction Alok Tripathy A. Lazar X. Ju P. Calafiura Katherine Yelick A. Buluç 33 0 0 07 Apr 2025
Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 47 1 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
ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan Zecheng Zhang Xinwei He Akihiro Nitta Weihua Hu ... Blaž Stojanovič Alan Krumholz J. E. Lenssen J. Leskovec Matthias Fey 57 4 0 29 Nov 2024
Faster Local Solvers for Graph Diffusion Equations Jiahe Bai Baojian Zhou Deqing Yang Yanghua Xiao DiffM 28 1 0 29 Oct 2024
Predicting building types and functions at transnational scale Jonas Fill Michael Eichelbeck Michael Ebner 18 0 0 15 Sep 2024
Distributed Training of Large Graph Neural Networks with Variable Communication Rates J. Cerviño Md Asadullah Turja Hesham Mostafa N. Himayat Alejandro Ribeiro GNN AI4CE 44 0 0 25 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models Jiarui Feng Hao Liu Lecheng Kong Yixin Chen Muhan Zhang 32 2 0 20 Jun 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting Yue Jiang Xiucheng Li Yile Chen Shuai Liu Weilong Kong Antonis F. Lentzakis Gao Cong AI4TS AI4CE 29 1 0 18 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 40 1 0 17 Jun 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 34 2 0 08 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 34 3 0 07 May 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs Minjie Wang Quan Gan David Wipf Zhenkun Cai Ning Li ... Chuan Lei Mu-Nan Zhang Weinan Zhang Christos Faloutsos Zheng-Wei Zhang 33 3 0 28 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching Zibin Huang Jun Xian GNN 27 0 0 19 Apr 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 24 4 0 27 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 20 2 0 09 Mar 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Xunkai Li Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 25 11 0 09 Feb 2024
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor Yi-Chien Lin Yuyang Chen Sameh Gobriel Nilesh Jain Gopi Krishna Jha Viktor Prasanna GNN 22 3 0 06 Feb 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 59 39 0 29 Jan 2024
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification Zinuo You Pengju Zhang Jin Zheng John Cartlidge AIFin DiffM 13 5 0 05 Jan 2024
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction Zinuo You Zijian Shi Hongbo Bo John Cartlidge Li Zhang Yan Ge AIFin DiffM 11 2 0 03 Jan 2024
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 21 2 0 08 Dec 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 23 3 0 09 Nov 2023
Cooperative Minibatching in Graph Neural Networks M. F. Balin Dominique LaSalle Ümit V. Çatalyürek GNN 20 1 0 19 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy Haitian Jiang Renjie Liu Xiao Yan Zhenkun Cai Minjie Wang David Wipf Minjie Wang David Wipf GNN AI4CE 21 3 0 19 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 22 9 0 17 Oct 2023
A Local Graph Limits Perspective on Sampling-Based GNNs Yeganeh Alimohammadi Luana Ruiz Amin Saberi 27 2 0 17 Oct 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 107 71 0 02 Oct 2023
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search Enes Altinisik Fatih Deniz H. Sencar 25 15 0 07 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 25 0 0 30 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism Jingji Chen Zhuoming Chen Xuehai Qian GNN AI4CE 27 3 0 19 Aug 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 29 22 0 24 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 11 30 0 04 Jun 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 27 3 0 17 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 32 29 0 14 May 2023
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification Shweta Ann Jacob Paul Louis Amirali Salehi-Abari GNN 11 4 0 17 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 16 102 0 10 Apr 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 20 0 0 17 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 61 8 0 06 Mar 2023
Towards a GML-Enabled Knowledge Graph Platform Hussein Abdallah Essam Mansour 16 2 0 03 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee Feng Ji Wee Peng Tay 19 1 0 03 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 19 5 0 02 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 16 1 0 01 Mar 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection Weilin Cong Mehrdad Mahdavi MU 16 17 0 17 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 16 61 0 03 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng-Wei Zhang GNN 23 2 0 18 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 27 7 0 12 Jan 2023
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 16 12 0 18 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 19 5 0 17 Dec 2022