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Fast Graph Representation Learning with PyTorch Geometric

Fast Graph Representation Learning with PyTorch Geometric

6 March 2019
Matthias Fey
J. E. Lenssen
    3DH
    GNN
    3DPC
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Papers citing "Fast Graph Representation Learning with PyTorch Geometric"

50 / 2,140 papers shown
Title
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
Evidential Uncertainty Probes for Graph Neural Networks
Linlin Yu
Kangshuo Li
Pritom Kumar Saha
Yifei Lou
Feng Chen
EDL
UQCV
82
0
0
11 Mar 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes
Qi Wu
Yingguang Yang
Hao Liu
Hao Peng
Buyun He
Yutong Xia
Yong Liao
AAML
61
0
0
11 Mar 2025
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
Hiroshi Nakano
Krzysztof Blachut
K. Jeziorek
Piotr Wzorek
Manon Dampfhoffer
Thomas Mesquida
Hiroaki Nishi
T. Kryjak
Thomas Dalgaty
GNN
60
0
0
09 Mar 2025
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach
Qian Zeng
Xin Lin
Jingyi Gao
Yang Yu
68
0
0
09 Mar 2025
GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs
GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs
Yue Jin
Yongchao Liu
Chuntao Hong
GNN
38
0
0
08 Mar 2025
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs
Xiabao Wu
Yongchao Liu
Wei Qin
Chuntao Hong
GNN
39
0
0
08 Mar 2025
Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes
Yanxi Chen
Mohammad Farazi
Zhangsihao Yang
Yonghui Fan
Nicholas Ashton
E. Reiman
Yi Su
Yalin Wang
MedIm
49
0
0
06 Mar 2025
Neural Descriptors: Self-Supervised Learning of Robust Local Surface Descriptors Using Polynomial Patches
Gal Yona
Roy Velich
Ron Kimmel
Ehud Rivlin
47
0
0
05 Mar 2025
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
Attila Lischka
Simon Rauch
Oliver Stritzel
GNN
58
0
0
05 Mar 2025
Deal: Distributed End-to-End GNN Inference for All Nodes
Shiyang Chen
Xiang Song
Vasiloudis Theodore
Hang Liu
GNN
50
0
0
04 Mar 2025
Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders
Yue Meng
Nathalie Majcherczyk
Wenliang Liu
Scott Kiesel
Chuchu Fan
Federico Pecora
GNN
71
0
0
04 Mar 2025
A Binary Classification Social Network Dataset for Graph Machine Learning
Adnan Ali
Jinglong Li
Huanhuan Chen
AlMotasem Bellah Al Ajlouni
GNN
57
0
0
04 Mar 2025
Quality Measures for Dynamic Graph Generative Models
Ryien Hosseini
F. Simini
V. Vishwanath
Rebecca Willett
Henry Hoffmann
EGVM
31
0
0
03 Mar 2025
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
Nikolaos Nakis
Niels Raunkjær Holm
Andreas Lyhne Fiehn
Morten Mørup
68
0
0
03 Mar 2025
Spatial Transcriptomics Analysis of Spatially Dense Gene Expression Prediction
Ruikun Zhang
Yan Yang
Liyuan Pan
58
0
0
03 Mar 2025
Channel-Attentive Graph Neural Networks
Tuğrul Hasan Karabulut
İnci M. Baytaş
37
0
0
01 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
62
0
0
28 Feb 2025
Deep Reinforcement Learning based Autonomous Decision-Making for Cooperative UAVs: A Search and Rescue Real World Application
Deep Reinforcement Learning based Autonomous Decision-Making for Cooperative UAVs: A Search and Rescue Real World Application
Thomas Hickling
Maxwell Hogan
Abdulla Tammam
Nabil Aouf
63
0
0
27 Feb 2025
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
Yucheng Zhang
Beatrice Bevilacqua
Mikhail Galkin
Bruno Ribeiro
61
1
0
26 Feb 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
R. Waleffe
Devesh Sarda
J. Mohoney
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
47
0
0
25 Feb 2025
DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
Akash Vartak
Khondoker Murad Hossain
Tim Oates
GNN
46
0
0
25 Feb 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma
Kai Tang
Huan Li
Fei Teng
Dalin Zhang
Tianrui Li
AI4TS
34
0
0
24 Feb 2025
Scalable Graph Condensation with Evolving Capabilities
Scalable Graph Condensation with Evolving Capabilities
Shengbo Gong
Mohammad Hashemi
Juntong Ni
Carl Yang
Wei-dong Jin
65
1
0
24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data
Graph Perceiver IO: A General Architecture for Graph Structured Data
Seyun Bae
Hoyoon Byun
Changdae Oh
Yoon-Sik Cho
Kyungwoo Song
GNN
90
2
0
24 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat
GiGL: Large-Scale Graph Neural Networks at Snapchat
Tong Zhao
Yozen Liu
Matthew Kolodner
Kyle Montemayor
Elham Ghazizadeh
...
Serim Park
Peicheng Yu
Jun Yu
Shubham Vij
Neil Shah
GNN
60
0
0
24 Feb 2025
Subsampling Graphs with GNN Performance Guarantees
Mika Sarkin Jain
Stefanie Jegelka
Ishani Karmarkar
Luana Ruiz
Ellen Vitercik
34
1
0
23 Feb 2025
To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders
Guillaume Salha-Galvan
Jiaying Xu
41
0
0
23 Feb 2025
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis
Yilun Zheng
Sha Li
Fangkun Wu
Yang Ziyi
Lin Hongchao
...
Ziming Wang
Jinxuan Chen
Sitao Luan
Jiahao Xu
Lihui Chen
35
0
0
23 Feb 2025
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
Laurin Lux
Alexander H. Berger
Maria Romeo Tricas
Alaa E. Fayed
S.
Linus Kreitner
Jonas Weidner
M. Menten
Daniel Rueckert
Johannes C. Paetzold
41
2
0
23 Feb 2025
Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks
Sayedmohammadreza Rastegari
Sina Tabakhi
Xianyuan Liu
Wei Sang
Haiping Lu
AI4CE
34
0
0
22 Feb 2025
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
Tuan-Anh Yang
Truong-Son Hy
Phuong D. Dao
34
0
0
22 Feb 2025
Sampling-based Distributed Training with Message Passing Neural Network
Sampling-based Distributed Training with Message Passing Neural Network
P. Kakka
Sheel Nidhan
Rishikesh Ranade
Jay Pathak
J. MacArt
GNN
75
3
0
20 Feb 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
Jiaqi Wang
Yuhang Zhou
Zhixiong Zhang
Qiguang Chen
Yongqiang Chen
James Cheng
OODD
53
1
0
18 Feb 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng
Tong Wang
Lele Fu
Sheng Huang
Chuan Chen
Tao Zhang
80
0
0
17 Feb 2025
MassSpecGym: A benchmark for the discovery and identification of molecules
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
41
4
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Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
65
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0
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ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
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Jiangbo Shi
Chen Li
Tieliang Gong
Yefeng Zheng
Huazhu Fu
VLM
60
5
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Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos
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Ina Laube
Johannes Stegmaier
3DPC
35
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0
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RelGNN: Composite Message Passing for Relational Deep Learning
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Tianlang Chen
Charilaos I. Kanatsoulis
Jure Leskovec
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AI4CE
49
1
0
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Norm Augmented Graph AutoEncoders for Link Prediction
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Huaisong Zhang
Xinyi Gao
Liuye Guo
Zhen Tao
Tieke He
43
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0
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Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
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Zhen Zhang
Bingsheng He
104
2
0
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No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
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Corinna Coupette
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Emily Simons
Bastian Alexander Rieck
76
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Learning Efficient Positional Encodings with Graph Neural Networks
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Evelyn Choi
Stephanie Jegelka
Jure Leskovec
Alejandro Ribeiro
55
0
0
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BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
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Jiaxing Xu
Yongqiang Chen
Xia Dong
Mengcheng Lan
Tiancheng Huang
Qingtian Bian
James Cheng
Yiping Ke
OOD
60
0
0
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Regularized Langevin Dynamics for Combinatorial Optimization
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Shengyu Feng
Yiming Yang
63
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0
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GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
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Andrew Cheng
Q. Ye
Q. Cheng
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51
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0
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Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics
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Keqin Wang
Yulong Yang
Ishan Saha
Christine Allen-Blanchette
51
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0
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Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
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Yao Su
Lifang He
Liang Zhan
Sergey Plis
Vince D. Calhoun
Carl Yang
AI4CE
39
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Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs
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Yu-Chiang Frank Wang
Bo Ni
Yuying Zhao
Tyler Derr
38
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