Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

20 May 2019

Papers citing "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"

50 / 509 papers shown

Title
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 27 3 0 06 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun-Xiong Xia Bozhen Hu Stan Z. Li 46 6 0 04 Feb 2024
TEDDY: Trimming Edges with Degree-based Discrimination strategY Hyunjin Seo Jihun Yun Eunho Yang 13 1 0 02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang Yanwei Yue Kun Wang Junfeng Fang Yongduo Sui Kai Wang Yuxuan Liang Dawei Cheng Shirui Pan Tianlong Chen 27 10 0 02 Feb 2024
PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs Ying Su Jipeng Zhang Yangqiu Song Tong Zhang 30 0 0 31 Jan 2024
Topology-aware Embedding Memory for Continual Learning on Expanding Networks Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 26 3 0 24 Jan 2024
Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li Yulin Zhao Zhengyu Wu Wentao Zhang Ronghua Li Guoren Wang MU 27 14 0 22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 24 16 0 22 Jan 2024
ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering Ya-Zhen Song Zhuo Chen Xiaofei Wang Ziyang Ma Xie Chen AuLLM 19 35 0 14 Jan 2024
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks D. Zanardini Emilio Serrano AI4CE GNN 29 0 0 10 Jan 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs Zhongshu Zhu Bin Jing Xiaopei Wan Zhizhen Liu Lei Liang Jun Zhou 19 2 0 06 Jan 2024
Strong Transitivity Relations and Graph Neural Networks Yassin Mohamadi M. H. Chehreghani GNN 21 2 0 01 Jan 2024
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models Kay Liu Hengrui Zhang Ziqing Hu Fangxin Wang Philip S. Yu 26 3 0 29 Dec 2023
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs Christopher Adnel I. Rekik GNN 28 0 0 27 Dec 2023
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 32 37 0 14 Dec 2023
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
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks Zheyi Qin Randy Paffenroth A. Jayasumana GNN 10 1 0 03 Dec 2023
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs Hesham Mostafa Adam Grabowski Md Asadullah Turja J. Cerviño Alejandro Ribeiro N. Himayat GNN 28 1 0 29 Nov 2023
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs Shengyin Sun Yuxiang Ren Chen Ma Xuecang Zhang 108 20 0 24 Nov 2023
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks Nasimeh Heydaribeni Xinrui Zhan Ruisi Zhang Tina Eliassi-Rad F. Koushanfar AI4CE 29 8 0 15 Nov 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
Distributed Matrix-Based Sampling for Graph Neural Network Training Alok Tripathy Katherine Yelick A. Buluç 16 3 0 06 Nov 2023
Entropy Aware Training for Fast and Accurate Distributed GNN Dhruv Deshmukh Gagan Raj Gupta Manisha Chawla Vishwesh Jatala Anirban Haldar 22 0 0 04 Nov 2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis Abhinav Nippani Dongyue Li Haotian Ju Haris N. Koutsopoulos Hongyang R. Zhang GNN 44 6 0 31 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon C. Alippi AI4TS AI4CE 24 14 0 24 Oct 2023
Cooperative Minibatching in Graph Neural Networks M. F. Balin Dominique LaSalle Ümit V. Çatalyürek GNN 25 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 24 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
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian Daniel Daza Emile van Krieken Thiviyan Thanapalasingam Peter Bloem 16 4 0 05 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 19 1 0 02 Oct 2023
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 32 7 0 02 Oct 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance Jie Sun Mo Sun Zheng Zhang Jun Xie Zuocheng Shi Zihan Yang Jie M. Zhang Fei Wu Zeke Wang GNN 42 5 0 02 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 47 0 0 29 Sep 2023
Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks Stefan Kambiz Behfar Jon Crowcroft AI4TS 16 0 0 29 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 21 6 0 26 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang Jiayi Shen Athanasios Efthymiou S. Rudinac Monika Kackovic N. Wijnberg M. Worring 21 0 0 22 Sep 2023
Lovelock: Towards Smart NIC-hosted Clusters Seo Jin Park Ramesh Govindan Kai Shen David E. Culler Fatma Özcan Geon-Woo Kim Henry M. Levy GNN 25 4 0 22 Sep 2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update Dan Wu Zhaoying Li Tulika Mitra GNN 8 1 0 20 Sep 2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Yide Qiu Shaoxiang Ling Tong Zhang Bo Huang Zhen Cui 31 0 0 11 Sep 2023
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search Enes Altinisik Fatih Deniz H. Sencar 33 15 0 07 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 23 3 0 07 Sep 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach Dong Li Divya Bhargavi V. Ravipati 23 5 0 06 Sep 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding Xiangshan Chen Yongxiang Liao Yun Xiong Yao Zhang Si-Yuan Zhang Jiawei Zhang Yiheng Sun 21 6 0 27 Aug 2023
i-Align: an interpretable knowledge graph alignment model Bayu Distiawan Trisedya Flora D. Salim Jeffrey Chan Damiano Spina Falk Scholer Mark Sanderson 11 7 0 26 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 14 3 0 25 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
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang K. Wang Yang You Xiaojiang Peng Yuxuan Liang Yang Wang 29 8 0 19 Aug 2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification Likang Wu Junji Jiang Hongke Zhao Hao Wang Defu Lian Mengdi Zhang Enhong Chen 19 4 0 15 Aug 2023