A Gentle Introduction to Deep Learning for Graphs

29 December 2019

Papers citing "A Gentle Introduction to Deep Learning for Graphs"

50 / 112 papers shown

Title
Prototype-enhanced prediction in graph neural networks for climate applications Nawid Keshtmand Elena Fillola Jeffrey N Clark Raúl Santos-Rodríguez Matthew Rigby 32 0 0 24 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
Learning to quantify graph nodes A. Micheli Alejandro Moreo Marco Podda Fabrizio Sebastiani William Simoni Domenico Tortorella 56 0 0 19 Mar 2025
Towards Efficient Molecular Property Optimization with Graph Energy Based Models Luca Miglior Lorenzo Simone Marco Podda Davide Bacciu AI4CE 59 0 0 17 Feb 2025
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization Guangrui Yang Ming Li Han Feng Xiaosheng Zhuang GNN OOD BDL 25 2 0 11 Oct 2024
Crowd Intelligence for Early Misinformation Prediction on Social Media Megha Sundriyal Harshit Choudhary Tanmoy Chakraborty Md. Shad Akhtar 18 0 0 08 Aug 2024
Accounting for Work Zone Disruptions in Traffic Flow Forecasting Yuanjie Lu Amarda Shehu David Lattanzi GNN 22 0 0 16 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 29 9 0 13 Jul 2024
A review of graph neural network applications in mechanics-related domains Yingxue Zhao Haoran Li Haosu Zhou H. Attar Tobias Pfaff Nan Li AI4CE 27 5 0 10 Jul 2024
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks Guangrui Yang Jianfei Li Ming Li Han Feng Ding-Xuan Zhou 28 1 0 01 Jul 2024
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks P. Samoaa Mehrdad Farahani Antonio Longa Philipp Leitner M. Chehreghani 32 0 0 17 Jun 2024
Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina Giulio Lovisotto Claudio Gallicchio Davide Bacciu Claas Grohnfeldt AI4TS 36 6 0 04 Jun 2024
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing Viktor Zaverkin Francesco Alesiani Takashi Maruyama Federico Errica Henrik Christiansen Makoto Takamoto Nicolas Weber Mathias Niepert 36 5 0 23 May 2024
Lying Graph Convolution: Learning to Lie for Node Classification Tasks Daniele Castellana 22 0 0 02 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina Daniele Zambon Davide Bacciu C. Alippi AI4TS CML 23 3 0 30 Apr 2024
Deep Learning for Satellite Image Time Series Analysis: A Review Lynn Miller Charlotte Pelletier Geoffrey I. Webb 25 17 0 05 Apr 2024
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding Marco Bongiovanni Luca Gallo Roberto Grasso Alfredo Pulvirenti GNN 21 0 0 28 Mar 2024
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction Asma Sattar Georgios Deligiorgis Marco Trincavelli Davide Bacciu OOD 16 0 0 17 Mar 2024
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations G. Felice Andrea Cini Daniele Zambon Vladimir V. Gusev C. Alippi 18 6 0 19 Feb 2024
Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions Vladimír Kunc 10 1 0 14 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 32 5 0 09 Feb 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 45 6 0 27 Dec 2023
Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems Marco Lepri Davide Bacciu Cosimo Della Santina AI4CE 18 8 0 11 Dec 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon C. Alippi AI4TS AI4CE 24 14 0 24 Oct 2023
Graph learning in robotics: a survey Francesca Pistilli Giuseppe Averta AI4CE GNN 16 7 0 06 Oct 2023
Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling H. Christiansen Federico Errica Francesco Alesiani 26 6 0 24 Sep 2023
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading Yuecheng Cai J. Jelovica AI4CE 31 0 0 22 Sep 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 20 3 0 18 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks Daniele Atzeni Federico Errica D. Bacciu A. Micheli 19 6 0 17 Aug 2023
Graph-based Polyphonic Multitrack Music Generation Emanuele Cosenza Andrea Valenti D. Bacciu 16 4 0 27 Jul 2023
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 32 11 0 12 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon C. Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 36 143 0 07 Jul 2023
Is Rewiring Actually Helpful in Graph Neural Networks? Domenico Tortorella A. Micheli AI4CE 27 2 0 31 May 2023
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini Danilo P. Mandic C. Alippi AI4TS 24 9 0 30 May 2023
Neural Algorithmic Reasoning for Combinatorial Optimisation Dobrik Georgiev Danilo Numeroso D. Bacciu Pietro Lio' NAI 22 13 0 18 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 20 4 0 17 May 2023
Addressing Heterophily in Node Classification with Graph Echo State Networks A. Micheli Domenico Tortorella 11 8 0 14 May 2023
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness Hogun Park Jennifer Neville 6 4 0 24 Apr 2023
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability Indro Spinelli Michele Guerra F. Bianchi Simone Scardapane 25 0 0 14 Apr 2023
Feudal Graph Reinforcement Learning Tommaso Marzi Arshjot Khehra Andrea Cini C. Alippi 22 0 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 25 141 0 11 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 31 44 0 04 Apr 2023
Object-Centric Relational Representations for Image Generation L. Butera Andrea Cini Alberto Ferrante C. Alippi OCL DiffM 24 0 0 26 Mar 2023
Graph Kalman Filters C. Alippi Daniele Zambon 24 6 0 21 Mar 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 14 1 0 22 Feb 2023
Dual Algorithmic Reasoning Danilo Numeroso D. Bacciu Petar Velickovic 14 18 0 09 Feb 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini Ivan Marisca Daniele Zambon C. Alippi AI4TS 13 30 0 08 Feb 2023
Low Complexity Approaches for End-to-End Latency Prediction Pierre Larrenie J. Bercher O. Venard Iyad Lahsen Cherif 10 3 0 31 Jan 2023
Model-based inexact graph matching on top of CNNs for semantic scene understanding Jérémy Chopin Jean-Baptiste Fasquel Harold Mouchère Rozenn Dahyot Isabelle Bloch 13 6 0 18 Jan 2023
Graph state-space models Daniele Zambon Andrea Cini L. Livi C. Alippi 20 6 0 04 Jan 2023