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
Fused3S: Fast Sparse Attention on Tensor Cores Zitong Li Aparna Chandramowlishwaran GNN 40 0 0 12 May 2025
Differentiable Fuzzy Neural Networks for Recommender Systems Stephan Bartl Kevin Innerebner Elisabeth Lex 9 0 0 09 May 2025
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training Aditya K. Ranjan Siddharth Singh Cunyang Wei A. Bhatele GNN 48 0 0 07 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 41 0 0 06 May 2025
Grasp the Graph (GtG) 2.0: Ensemble of GNNs for High-Precision Grasp Pose Detection in Clutter Ali Rashidi Moghadam Sayedmohammadreza Rastegari M. T. Masouleh Ahmad Kalhor 29 0 0 05 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 87 0 0 05 May 2025
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation J. Qu Wenhan Gao Jiaxing Zhang Xufeng Liu Hua Wei Haibin Ling Y. Liu AI4CE 50 0 0 04 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 26 0 0 04 May 2025
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Yue Meng Chuchu Fan 38 0 0 01 May 2025
Multiview Point Cloud Registration via Optimization in an Autoencoder Latent Space Luc Vedrenne S. Faisan Denis Fortun 3DPC 59 0 0 30 Apr 2025
Learning Hierarchical Interaction for Accurate Molecular Property Prediction Huiyang Hong Xinkai Wu Hongyu Sun Chaoyang Xie Qi Wang Y. Li 22 0 0 28 Apr 2025
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 0 0 28 Apr 2025
Learning Efficiency Meets Symmetry Breaking Yingbin Bai Sylvie Thiébaux Felipe Trevizan 32 0 0 28 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching Vignesh Balaji Christos Kozyrakis Gal Chechik Haggai Maron GNN 30 0 0 25 Apr 2025
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Shengtao Zhang Haokai Zhang Shiqi Lou Zicheng Wang Zinan Zeng Yilin Wang Minnan Luo 64 0 0 24 Apr 2025
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Haokai Zhang Shengtao Zhang Zijian Cai Heng Wang Ruixuan Zhu Zinan Zeng Minnan Luo 49 0 0 24 Apr 2025
Benchmarking machine learning models for predicting aerofoil performance Oliver Summerell Gerardo Aragon-Camarasa Stephanie Ordonez Sanchez 17 0 0 22 Apr 2025
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Van Thuy Hoang Hyeon-Ju Jeon O-Joun Lee 27 0 0 21 Apr 2025
Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks Nassim Belmecheri A. Gotlieb Nadjib Lazaar Helge Spieker GNN 37 0 0 17 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 27 0 0 17 Apr 2025
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 51 0 0 17 Apr 2025
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
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 76 0 0 16 Apr 2025
Subset-Contrastive Multi-Omics Network Embedding Pedro H. C. Avelar Min-Ying Wu S. Tsoka 19 0 0 15 Apr 2025
Ember: A Compiler for Efficient Embedding Operations on Decoupled Access-Execute Architectures Marco Siracusa Olivia Hsu Victor Soria-Pardos Joshua Randall Arnaud Grasset ... Doug Joseph Randy Allen Fredrik Kjolstad Miquel Moretó Planas Adrià Armejach 26 0 0 14 Apr 2025
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE J. Firoz Franco Pellegrini Mario Geiger Darren J. Hsu Jenna A. Bilbrey ... Chris Mundy Gábor Csányi Justin S. Smith Ponnuswamy Sadayappan Sutanay Choudhury 26 0 0 14 Apr 2025
Local Distance-Preserving Node Embeddings and Their Performance on Random Graphs My Le Luana Ruiz Souvik Dhara 34 0 0 11 Apr 2025
Leveraging GCN-based Action Recognition for Teleoperation in Daily Activity Assistance Thomas M. Kwok Jiaan Li Yue Hu 21 0 0 09 Apr 2025
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data David R. Johnson Smita Krishnaswamy Michael Perlmutter DiffM 49 0 0 08 Apr 2025
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall Christopher Bülte Sohir Maskey Philipp Scholl Jonas von Berg Gitta Kutyniok AI4CE 24 0 0 07 Apr 2025
Boosting Relational Deep Learning with Pretrained Tabular Models Veronica Lachi Antonio Longa Beatrice Bevilacqua Bruno Lepri Andrea Passerini Bruno Ribeiro LMTD AI4CE 46 0 0 07 Apr 2025
An Efficient Approach for Cooperative Multi-Agent Learning Problems Ángel Aso-Mollar Eva Onaindia 21 0 0 07 Apr 2025
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
MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage Yongjun He R. Waleffe Zhichao Han Johnu George Binhang Yuan ... Yinan Shan Yang Zhao Debojyoti Dutta Theodoros Rekatsinas Ce Zhang AIFin 33 0 0 02 Apr 2025
Graphically Speaking: Unmasking Abuse in Social Media with Conversation Insights Célia Nouri Jean-Philippe Cointet Chloé Clavel 37 0 0 02 Apr 2025
Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification Jing Wang Jun-En Ding Feng Liu Elisa Kallioniemi Shuqiang Wang Wen-Xiang Tsai A. Yang OOD 48 0 0 02 Apr 2025
Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code Roxane Cohen Robin David Florian Yger Fabrice Rossi AAML 35 0 0 02 Apr 2025
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training Rajeev Kumar Harishankar Kumar Kumari Shalini 46 0 0 01 Apr 2025
Node Embeddings via Neighbor Embeddings Jan Niklas Böhm Marius Keute Alica Guzmán Sebastian Damrich Andrew Draganov D. Kobak GNN 52 0 0 31 Mar 2025
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids Dhruv Suri Mohak Mangal AI4TS 37 0 0 26 Mar 2025
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs Yuan N. Li Jun Hu Jiaxin Jiang Zemin Liu Bryan Hooi Bingsheng He 39 0 0 25 Mar 2025
A scalable gene network model of regulatory dynamics in single cells Paul Bertin J. Viviano Alejandro Tejada-Lapuerta Weixu Wang Stefan Bauer Fabian J. Theis Yoshua Bengio 36 0 0 25 Mar 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling Yongqi Huang Jitao Zhao Dongxiao He Di Jin Yuxiao Huang Zhen Wang 34 0 0 23 Mar 2025
From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles Paolo Frazzetto Muhammad Uzair Ul Haq Flavia Fabris Alessandro Sperduti 41 0 0 21 Mar 2025
OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System Roan Schellingerhout Francesco Barile N. Tintarev CML 52 0 0 17 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 68 5 0 13 Mar 2025
Towards Constraint-Based Adaptive Hypergraph Learning for Solving Vehicle Routing: An End-to-End Solution Zhenwei Wang Ruibin Bai Tiehua Zhang 41 0 0 13 Mar 2025
PyGDA: A Python Library for Graph Domain Adaptation Zhen Zhang Meihan Liu Bingsheng He AI4CE OOD 44 0 0 13 Mar 2025
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks? Mir Imtiaz Mostafiz Imtiaz Karim Elisa Bertino AAML 64 0 0 12 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement Huidong Liang Haitz Sáez de Ocáriz Borde Baskaran Sripathmanathan Michael M. Bronstein Xiaowen Dong GNN 65 0 0 12 Mar 2025