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
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck Shuangjie Li Jiangqing Song Baoming Zhang Gaoli Ruan Junyuan Xie Chongjun Wang 23 0 0 07 Nov 2024
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction Zhao Xu Haiyang Yu Montgomery Bohde Shuiwang Ji 35 0 0 06 Nov 2024
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks Qizhe Wu Letian Zhao Yuchen Gui Huawen Liang Xiaotian Wang GNN 29 0 0 06 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment Andrea Protani Lorenzo Giusti Albert Sund Aillet Simona Sacco Paolo Manganotti ... Pierpaolo Brutti Pietro Caliandro Luigi Serio Pietro Caliandro Luigi Serio FedML 22 0 0 04 Nov 2024
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural Networks Christoforos Brozos Jan G. Rittig Elie Akanny Sandip Bhattacharya Christina Kohlmann Alexander Mitsos 27 0 0 04 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings Ashkan Golgoon Ryan Franks Khashayar Filom Arjun Ravi Kannan 31 0 0 01 Nov 2024
A Recipe for Geometry-Aware 3D Mesh Transformers Mohammad Farazi Yalin Wang 46 0 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 35 0 0 31 Oct 2024
LLaMo: Large Language Model-based Molecular Graph Assistant Jinyoung Park Minseong Bae Dohwan Ko Hyunwoo J. Kim 32 1 0 31 Oct 2024
NASM: Neural Anisotropic Surface Meshing Hongbo Li Haikuan Zhu Sikai Zhong Ningna Wang Cheng Lin X. Guo Shiqing Xin Wenping Wang Jing Hua Z. Zhong 27 0 0 30 Oct 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 31 2 0 30 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 31 0 0 29 Oct 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 58 0 0 29 Oct 2024
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation Mufei Li Siqi Miao Pan Li RALM 30 7 0 28 Oct 2024
Double Difference Earthquake Location with Graph Neural Networks I. McBrearty G. Beroza 16 0 0 25 Oct 2024
Multi-view biomedical foundation models for molecule-target and property prediction Parthasarathy Suryanarayanan Yunguang Qiu Shreyans Sethi Diwakar Mahajan Hongyang Li ... Bum Chul Kwon Pablo Meyer Feixiong Cheng Jianying Hu Joseph A. Morrone AI4CE 24 0 0 25 Oct 2024
DL-Polycube: Deep learning enhanced polycube method for high-quality hexahedral mesh generation and volumetric spline construction Yuxuan Yu Yuzhuo Fang Hua Tong Y. Zhang 19 1 0 24 Oct 2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods Daniel Maître Vishal S. Ngairangbam M. Spannowsky 21 4 0 24 Oct 2024
A Causal Graph-Enhanced Gaussian Process Regression for Modeling Engine-out NOx Shrenik Zinage Ilias Bilionis Peter Meckl 22 0 0 24 Oct 2024
Graph Signal Adaptive Message Passing Yi Yan Changran Peng E. Kuruoglu 14 1 0 23 Oct 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 29 2 0 22 Oct 2024
Automated Planning Domain Inference for Task and Motion Planning Jinbang Huang Allen Tao Rozilyn Marco Miroslav Bogdanovic Jonathan Kelly Florian Shkurti 24 1 0 21 Oct 2024
A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments Yuanhao Liu Shuo Liu Yimeng Liu Jingwen Yang Hong Qian AI4Ed 31 0 0 19 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 26 0 0 18 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül R. Kannan Viktor Prasanna FedML 18 0 0 17 Oct 2024
Rapid and Automated Alloy Design with Graph Neural Network-Powered LLM-Driven Multi-Agent Systems Alireza Ghafarollahi Markus J. Buehler AI4CE 11 2 0 17 Oct 2024
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling Hritaban Ghosh Chen Changyu Arunesh Sinha Shamik Sural 24 0 0 15 Oct 2024
Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior Julian Suk Guido Nannini Patryk Rygiel Christoph Brune Gianluca Pontone Alberto Redaelli J. Wolterink 16 1 0 15 Oct 2024
Neural Symbolic Regression of Complex Network Dynamics Haiquan Qiu Shuzhi Liu Quanming Yao 27 1 0 15 Oct 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu Artem Moskalev Tommaso Mansi Mangal Prakash Rui Liao AI4CE 26 1 0 15 Oct 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective Jintang Li Ruofan Wu Yuchang Zhu Huizhe Zhang Xinzhou Jin Guibin Zhang Zulun Zhu Zibin Zheng Liang Chen SSL 32 0 0 14 Oct 2024
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing Pengrui Quan Xiaomin Ouyang J. Jeyakumar Ziqi Wang Yang Xing Mani B. Srivastava 16 1 0 14 Oct 2024
Gaussian Splatting Visual MPC for Granular Media Manipulation Wei-Cheng Tseng Ellina Zhang Krishna Murthy Jatavallabhula Florian Shkurti 3DGS 29 0 0 13 Oct 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training Fangxin Wang Kay Liu Sourav Medya Philip S. Yu SSL 13 1 0 12 Oct 2024
Ranking over Regression for Bayesian Optimization and Molecule Selection Gary Tom Stanley Lo Samantha Corapi Alán Aspuru-Guzik Benjamín Sánchez-Lengeling BDL 29 0 0 11 Oct 2024
pyhgf: A neural network library for predictive coding Nicolas Legrand Lilian A. E. Weber Peter Thestrup Waade Anna Hedvig Møller Daugaard Mojtaba Khodadadi Nace Mikuš C. Mathys AI4CE 18 0 0 11 Oct 2024
Deconstructing equivariant representations in molecular systems Kin Long Kelvin Lee Mikhail Galkin Santiago Miret 22 2 0 10 Oct 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 18 1 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 38 1 0 09 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 49 1 0 09 Oct 2024
Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes Kevin Ferguson Yu-Hsuan Chen Yiming Chen Andrew Gillman James Hardin Levent Burak Kara AI4CE 21 2 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 35 1 0 07 Oct 2024
Improving Node Representation by Boosting Target-Aware Contrastive Loss Ying-Chun Lin Jennifer Neville SSL 15 0 0 04 Oct 2024
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring Taewon Kim Hyunjin Seo Sungsoo Ahn Eunho Yang AI4CE 27 1 0 04 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 30 4 0 04 Oct 2024
GABIC: Graph-based Attention Block for Image Compression Gabriele Spadaro Alberto Presta Enzo Tartaglione Jhony H. Giraldo Marco Grangetto A. Fiandrotti 17 3 0 03 Oct 2024
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML Patara Trirat Wonyong Jeong Sung Ju Hwang LLMAG 23 10 0 03 Oct 2024
MANTRA: The Manifold Triangulations Assemblage Rubén Ballester Ernst Röell Daniel Bin Schmid Mathieu Alain Sergio Escalera Carles Casacuberta Bastian Rieck 44 2 0 03 Oct 2024
Sparse Covariance Neural Networks Andrea Cavallo Zhan Gao Elvin Isufi 21 0 0 02 Oct 2024
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling Shivam Barwey Riccardo Balin Bethany Lusch Saumil Patel Ramesh Balakrishnan Pinaki Pal R. Maulik V. Vishwanath GNN AI4CE 23 1 0 02 Oct 2024