AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference

20 November 2023

Papers citing "AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference"

14 / 14 papers shown

Title
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 76 2 0 25 Aug 2024
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization Haitz Sáez de Ocáriz Borde Alvaro Arroyo Ismael Morales Ingmar Posner Xiaowen Dong 58 10 0 09 Sep 2023
Projections of Model Spaces for Latent Graph Inference Haitz Sáez de Ocáriz Borde Alvaro Arroyo Ingmar Posner 44 9 0 21 Mar 2023
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 124 56 0 06 Oct 2022
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 112 267 0 21 Jun 2021
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 81 686 0 09 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 82 703 0 20 May 2020
Latent-Graph Learning for Disease Prediction Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein MedIm 49 66 0 27 Mar 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 62 130 0 11 Feb 2020
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 105 648 0 28 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 126 705 0 28 Oct 2019
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,138 0 24 Jan 2018
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 546 27,300 0 01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 309 7,292 0 20 Dec 2013