Fast Graph Representation Learning with PyTorch Geometric

6 March 2019

Papers citing "Fast Graph Representation Learning with PyTorch Geometric"

50 / 2,140 papers shown

Title
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs Leyao Wang Yu-Chiang Frank Wang Bo Ni Yuying Zhao Tyler Derr 38 0 0 28 Jan 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 76 0 0 28 Jan 2025
Deep Modularity Networks with Diversity--Preserving Regularization Yasmin Salehi D. Giannacopoulos 29 0 0 23 Jan 2025
Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training Jonghytun Lee Yongqin Wang Rachit Rajat M. Annavaram 50 0 0 20 Jan 2025
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks Michael Schwingshackl Fabio Francisco Oberweger Markus Murschitz 44 1 0 20 Jan 2025
Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Bishal Thapaliya Esra Akbas Ram Sapkota Bhaskar Ray Vince D. Calhoun Jingyu Liu 44 1 0 17 Jan 2025
A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks Sree Bhattacharyya Shuhua Yang James Z. Wang 38 0 0 13 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal K. Fountoulakis Aukosh Jagannath 73 11 0 10 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 31 0 0 08 Jan 2025
Data-Driven Radio Propagation Modeling using Graph Neural Networks Adrien Bufort Laurent Lebocq Stefan Cathabard GNN 38 3 0 08 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 52 2 0 08 Jan 2025
Graph-Based Multimodal and Multi-view Alignment for Keystep Recognition Julia Lee Romero Kyle Min Subarna Tripathi Morteza Karimzadeh 30 0 0 07 Jan 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality Joshua Southern Yam Eitan Guy Bar-Shalom Michael M. Bronstein Haggai Maron Fabrizio Frasca 28 0 0 06 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 60 2 0 03 Jan 2025
A Graph Neural Network deep-dive into successful counterattacks Joris Bekkers Amod Sahasrabudhe GNN 69 1 0 31 Dec 2024
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 33 1 0 29 Dec 2024
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
LASE: Learned Adjacency Spectral Embeddings Sofía Pérez Casulo Marcelo Fiori Federico Larroca Gonzalo Mateos AI4TS GNN 33 0 0 23 Dec 2024
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning Jaesun Shin Eunjoo Jeon Taewon Cho Namkyeong Cho Youngjune Gwon 34 0 0 23 Dec 2024
GraphAgent: Agentic Graph Language Assistant Yuhao Yang J. Tang Lianghao Xia Xingchen Zou Yuxuan Liang Chao Huang LM&Ro 91 1 0 22 Dec 2024
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Van Thuy Hoang O-Joun Lee AI4CE 75 1 0 20 Dec 2024
Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Julian L. Möbius Michael Habeck DiffM 78 0 0 19 Dec 2024
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Shuyin Xia Xinjun Ma Zhiyuan Liu Cheng Liu Sen Zhao G. Wang 69 0 0 18 Dec 2024
FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores Jinliang Shi Shigang Li Youxuan Xu Rongtian Fu Xueying Wang Tong Wu 70 3 0 15 Dec 2024
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization Mingjing Xu Peizhong Ju Jia Liu Haibo Yang 62 2 0 14 Dec 2024
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media Muhammad Arslan Manzoor Ruihong Zeng Dilshod Azizov Preslav Nakov Shangsong Liang 74 0 0 12 Dec 2024
HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores Zhonggen Li Xiangyu Ke Yifan Zhu Yunjun Gao Yaofeng Tu 66 0 0 12 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Yushun Dong Patrick Soga Yinhan He Song Wang Jundong Li 94 0 0 10 Dec 2024
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale Kay Liu Jiahao Ding MohamadAli Torkamani Philip S. Yu 73 1 0 01 Dec 2024
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations H. Çağrı Bilgi Lydia Y. Chen Kubilay Atasu 76 1 0 29 Nov 2024
OpenQDC: Open Quantum Data Commons Cristian Gabellini Nikhil Shenoy Stephan Thaler Semih Cantürk Daniel McNeela Dominique Beaini Michael Bronstein Prudencio Tossou AI4CE 70 1 0 29 Nov 2024
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
GNN 101: Visual Learning of Graph Neural Networks in Your Web Browser Y. Lu Chongwei Chen Kexin Huang Marinka Zitnik Qianwen Wang GNN 59 0 0 26 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye W. Zhang Hongzhi Yin 85 2 0 26 Nov 2024
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Amirabbas Afzali Hesam Hosseini Mohmmadamin Mirzai Arash Amini AI4TS 61 1 0 25 Nov 2024
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs Jiahui Liu Zhenkun Cai Zhiyong Chen Minjie Wang GNN 64 1 0 25 Nov 2024
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers Chen Zhuang Peng Chen Xin Liu Rio Yokota Nikoli Dryden Toshio Endo Satoshi Matsuoka M. Wahib GNN 62 0 0 25 Nov 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 71 0 0 23 Nov 2024
23 DoF Grasping Policies from a Raw Point Cloud Martin Matak Karl Van Wyk Tucker Hermans 3DPC 80 0 0 21 Nov 2024
A Theory for Compressibility of Graph Transformers for Transductive Learning Hamed Shirzad Honghao Lin A. Velingker B. Venkatachalam David P. Woodruff Danica J. Sutherland 75 1 0 20 Nov 2024
Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks Nikhil Garuda John F. Wu Dylan Nelson Annalisa Pillepich 62 0 0 19 Nov 2024
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting Gabriele Immordino Andrea Vaiuso A. Ronch Marcello Righi AI4CE 72 0 0 18 Nov 2024
A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents Jean Vassoyan Anan Schütt Jill-Jênn Vie Arun-Balajiee Lekshmi-Narayanan Elisabeth André Nicolas Vayatis AI4Ed 64 0 0 18 Nov 2024
Graph Neural Networks on Graph Databases Dmytro Lopushanskyy Borun Shi GNN 63 0 0 18 Nov 2024
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents Benjamin M. Peter Mert Korkali 23 0 0 17 Nov 2024
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking Yunchao Liu Liu Ha Dong Xin Wang Rocco Moretti ... J. Gu Bobby Bodenheimer Charles David Weaver J. Meiler Tyler Derr 28 0 0 14 Nov 2024
Graph Neural Networks and Differential Equations: A hybrid approach for data assimilation of fluid flows M. Quattromini M. A. Bucci S. Cherubini O. Semeraro AI4CE 24 0 0 14 Nov 2024
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer Marvin Sextro Gabriel Dernbach Kai Standvoss S. Schallenberg Frederick Klauschen Klaus-Robert Müller Maximilian Alber Lukas Ruff 23 0 0 12 Nov 2024
Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes Jesse He Helen Jenne Herman Chau Davis Brown Mark Raugas Sara Billey Henry Kvinge 21 3 0 12 Nov 2024
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks Jhony H. Giraldo Aref Einizade Andjela Todorovic Jhon A. Castro-Correa Mohsen Badiey T. Bouwmans Fragkiskos D. Malliaros 31 0 0 07 Nov 2024