Fast Graph Representation Learning with PyTorch Geometric

6 March 2019

Papers citing "Fast Graph Representation Learning with PyTorch Geometric"

50 / 84 papers shown

Title
PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints Shuo Wang Yun Cheng Qingye Meng O. Saukh Jiang Zhang Jingfang Fan Yuanting Zhang Xingyuan Yuan Lothar Thiele AI4CE 51 0 0 26 May 2025
Learning for Dynamic Combinatorial Optimization without Training Data Yiqiao Liao Farinaz Koushanfar Parinaz Naghizadeh GNN AI4CE 56 0 0 26 May 2025
Graph Wave Networks Juwei Yue Haikuo Li Jiawei Sheng Yihan Guo Xinghua Zhang Chuan Zhou Tingwen Liu Li Guo 86 1 0 26 May 2025
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling Bryan Wong Jong Woo Kim Huazhu Fu Mun Yi VLM 75 0 0 23 May 2025
Early-Exit Graph Neural Networks Andrea Giuseppe Di Francesco Maria Sofia Bucarelli F. M. Nardini R. Perego Nicola Tonellotto Fabrizio Silvestri 49 0 0 23 May 2025
Learning Flexible Forward Trajectories for Masked Molecular Diffusion Hyunjin Seo Taewon Kim Sihyun Yu SungSoo Ahn DiffM AI4CE 71 0 0 22 May 2025
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks Han Zhang Yan Wang Guanfeng Liu Pengfei Ding Huaxiong Wang Kwok-Yan Lam 47 0 0 20 May 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 86 0 0 20 May 2025
Learning Hierarchical Interaction for Accurate Molecular Property Prediction Huiyang Hong Xinkai Wu Hongyu Sun Chaoyang Xie Qi Wang Yongqian Li 70 0 0 28 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 83 0 0 24 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 345 0 0 16 Apr 2025
An Efficient Approach for Cooperative Multi-Agent Learning Problems Ángel Aso-Mollar Eva Onaindia 36 0 0 07 Apr 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 134 5 0 13 Mar 2025
GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs Yue Jin Yongchao Liu Chuntao Hong GNN 52 0 0 08 Mar 2025
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 166 0 0 25 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 165 2 0 24 Feb 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 105 3 0 20 Feb 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wang Yuhang Zhou Zhixiong Zhang Qiguang Chen Yongqiang Chen James Cheng OODD 104 1 0 18 Feb 2025
MassSpecGym: A benchmark for the discovery and identification of molecules Roman Bushuiev Anton Bushuiev Niek F. de Jonge A. Young Fleming Kretschmer ... Justin J. J. van der Hooft Michael A. Stravs Sebastian Böcker Josef Sivic Tomáš Pluskal 58 4 0 17 Feb 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng Tong Wang Lele Fu Sheng Huang Chuan Chen Tao Zhang 118 1 0 17 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 116 0 0 13 Feb 2025
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Jiangbo Shi Chen Li Tieliang Gong Yefeng Zheng Huazhu Fu VLM 120 9 0 12 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 139 2 0 05 Feb 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 159 0 0 28 Jan 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects Natalí S. M. de Santi F. Villaescusa-Navarro L. Abramo Helen Shao Lucia A. Perez ... F. Marinacci D. Spergel K. Dolag L. Hernquist M. Vogelsberger 162 4 0 28 Jan 2025
Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training Jonghytun Lee Yongqin Wang Rachit Rajat M. Annavaram 68 0 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 63 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 53 0 0 13 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 112 11 0 10 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 96 2 0 03 Jan 2025
A Graph Neural Network deep-dive into successful counterattacks Joris Bekkers Amod Sahasrabudhe GNN 89 1 0 31 Dec 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 100 0 0 23 Nov 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 106 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 85 11 0 28 Oct 2024
Automated Planning Domain Inference for Task and Motion Planning Jinbang Huang Allen Tao Rozilyn Marco Miroslav Bogdanovic Jonathan Kelly Florian Shkurti 47 1 0 21 Oct 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu Artem Moskalev Tommaso Mansi Mangal Prakash Rui Liao AI4CE 51 3 0 15 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 74 6 0 09 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 109 6 0 04 Oct 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Rieck 45 1 0 03 Oct 2024
Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim Scott A. Sisson Thaís Rodrigues David J. Nott G. S. Rodrigues 98 0 0 27 Sep 2024
Higher-Order Message Passing for Glycan Representation Learning Roman Joeres Daniel Bojar 49 1 0 20 Sep 2024
Learning to Compare Hardware Designs for High-Level Synthesis Yunsheng Bai Atefeh Sohrabizadeh Zijian Ding Rongjian Liang Weikai Li Ding Wang Haoxing Ren Yizhou Sun Jason Cong 97 2 0 20 Sep 2024
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang Yadi Cao Chris Russell Yanxin Shen Junyu Luo Ming Zhang Siyu Heng Zhiyuan Ning 61 1 0 13 Sep 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks Shivam Barwey Pinaki Pal Saumil Patel Riccardo Balin Bethany Lusch V. Vishwanath R. Maulik R. Balakrishnan AI4CE 169 0 0 12 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 86 11 0 26 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 98 0 0 13 Aug 2024
Harvesting Textual and Structured Data from the HAL Publication Repository Francis Kulumba Wissam Antoun Guillaume Vimont Laurent Romary 68 2 0 30 Jul 2024
Deep Inverse Design for High-Level Synthesis Ping Chang Tosiron Adegbija Yuchao Liao Claudio Talarico Ao Li Janet Roveda 59 0 0 11 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 107 6 0 03 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 86 1 0 01 Jul 2024