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
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 19 5 0 17 Dec 2022
Leave Graphs Alone: Addressing Over-Squashing without Rewiring Adam Santoro Ashish Vaswani 14 11 0 13 Dec 2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective Yige Yuan Bingbing Xu Huawei Shen Qi Cao Keting Cen Wen Zheng Xueqi Cheng 6 13 0 20 Nov 2022
Beyond Homophily with Graph Echo State Networks Domenico Tortorella A. Micheli 15 4 0 27 Oct 2022
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina D. Bacciu Claudio Gallicchio GNN 11 50 0 18 Oct 2022
ChemAlgebra: Algebraic Reasoning on Chemical Reactions Andrea Valenti D. Bacciu Antonio Vergari OOD LRM 19 0 0 05 Oct 2022
Scalable Spatiotemporal Graph Neural Networks Andrea Cini Ivan Marisca F. Bianchi C. Alippi AI4TS AI4CE 26 48 0 14 Sep 2022
Generalizing Downsampling from Regular Data to Graphs D. Bacciu A. Conte Francesco Landolfi 34 7 0 06 Aug 2022
Transition1x -- a Dataset for Building Generalizable Reactive Machine Learning Potentials M. Schreiner Arghya Bhowmik T. Vegge Jonas Busk Ole Winther 14 62 0 25 Jul 2022
HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural Networks Jing Liu Tongya Zheng Qinfen Hao 22 7 0 25 Jul 2022
NeuralNEB -- Neural Networks can find Reaction Paths Fast M. Schreiner Arghya Bhowmik T. Vegge Peter Bjørn Jørgensen Ole Winther 24 23 0 20 Jul 2022
A Survey on Hyperlink Prediction Cang Chen Yang-Yu Liu 3DV AI4CE 9 40 0 06 Jul 2022
MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction Luca Gallo Vito Latora Alfredo Pulvirenti 12 1 0 24 Jun 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon C. Alippi CML AI4TS 35 18 0 26 May 2022
NECA: Network-Embedded Deep Representation Learning for Categorical Data Xiaonan Gao Sen Wu Wenjun Zhou 8 0 0 25 May 2022
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 14 5 0 20 May 2022
Learning heuristics for A* Danilo Numeroso Davide Bacciu Petar Velickovic 11 0 0 11 Apr 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 25 23 0 19 Mar 2022
Graph neural network-based fault diagnosis: a review Zhi-wen Chen Jiamin Xu C. Alippi S. Ding Yuri A. W. Shardt Tao Peng Chunhua Yang AI4CE 14 36 0 16 Nov 2021
Power Flow Balancing with Decentralized Graph Neural Networks Jonas Berg Hansen S. N. Anfinsen F. Bianchi 17 32 0 03 Nov 2021
Predictive Auto-scaling with OpenStack Monasca Giacomo Lanciano Filippo Galli Tommaso Cucinotta D. Bacciu A. Passarella 13 4 0 03 Nov 2021
Dynamic Graph Echo State Networks Domenico Tortorella A. Micheli 16 10 0 16 Oct 2021
Inductive learning for product assortment graph completion Haris Dukic Georgios Deligiorgis Pierpaolo Sepe D. Bacciu Marco Trincavelli CML 13 1 0 04 Oct 2021
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 21 20 0 21 Sep 2021
A Meta-Learning Approach for Training Explainable Graph Neural Networks Indro Spinelli Simone Scardapane A. Uncini 29 19 0 20 Sep 2021
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation David Bonet Antonio Ortega Javier Ruiz-Hidalgo Sarath Shekkizhar 24 15 0 27 Jul 2021
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks Lucie Charlotte Magister Dmitry Kazhdan Vikash Singh Pietro Lió 14 47 0 25 Jul 2021
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation Marco Podda D. Bacciu BDL 11 9 0 18 Jul 2021
TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence D. Bacciu S. Akarmazyan E. Armengaud Manlio Bacco George N. Bravos ... Konstantinos Tserpes Fulvio Tagliabo Jakob Valtl Iraklis Varlamis O. Veledar 19 23 0 14 Jul 2021
Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis Cory Braker Scott E. Mjolsness Diane Oyen C. Kodera D. Bouchez Magalie Uyttewaal 14 0 0 29 Jun 2021
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs Willis Hoke D. Shea S. Casey AI4CE 8 0 0 26 May 2021
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions Zhenyue Qin Saeed Anwar Dongwoo Kim Yang Liu Pan Ji Tom Gedeon 23 2 0 24 May 2021
Estimating the State of Epidemics Spreading with Graph Neural Networks Abhishek Tomy Matteo Razzanelli Francesco Di Lauro Daniela Rus Cosimo Della Santina 16 25 0 10 May 2021
Recovering Barabási-Albert Parameters of Graphs through Disentanglement Cristina Guzman Daphna Keidar Tristan Meynier Andreas Opedal Niklas Stoehr 14 0 0 03 May 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning Indro Spinelli Simone Scardapane Amir Hussain A. Uncini FaML 16 79 0 29 Apr 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Danilo Numeroso D. Bacciu 6 37 0 16 Apr 2021
Pyramidal Reservoir Graph Neural Network F. Bianchi Claudio Gallicchio A. Micheli GNN 6 13 0 10 Apr 2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Antonio Carta Andrea Cossu Federico Errica D. Bacciu GNN 8 14 0 22 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 17 28 0 07 Mar 2021
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces G. Tsialiamanis Charilaos Mylonas Eleni Chatzi N. Dervilis D. Wagg Keith Worden 9 40 0 05 Mar 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 37 57 0 31 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020
Graph Mixture Density Networks Federico Errica D. Bacciu A. Micheli 11 15 0 05 Dec 2020
Explaining Deep Graph Networks with Molecular Counterfactuals Danilo Numeroso D. Bacciu 6 10 0 09 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 6 13 0 05 Nov 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 55 299 0 23 Oct 2020
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations Wenfeng Liu Maoguo Gong Zedong Tang •. A. K. Qin GNN 18 13 0 12 Oct 2020
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs Federico Errica Marco Giulini D. Bacciu R. Menichetti A. Micheli R. Potestio 16 0 0 14 Jul 2020
Distributed Training of Graph Convolutional Networks Simone Scardapane Indro Spinelli P. Lorenzo GNN BDL 36 26 0 13 Jul 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 11 292 0 09 Jun 2020