Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance

28 September 2023

Papers citing "Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance"

12 / 12 papers shown

Title
The Z-Gromov-Wasserstein Distance Martin Bauer Facundo Mémoli Tom Needham Mao Nishino OT 66 2 0 15 Aug 2024
Online Graph Dictionary Learning Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Marco Corneli Nicolas Courty 58 46 0 12 Feb 2021
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 93 789 0 08 Sep 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lio Petar Velickovic GNN 114 668 0 12 Apr 2020
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings C. Ciliberto Lorenzo Rosasco Alessandro Rudi 156 51 0 13 Feb 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 68 50 0 19 Nov 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 103 456 0 27 May 2019
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 68 274 0 23 May 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,164 0 30 Oct 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
Fast Computation of Wasserstein Barycenters Marco Cuturi Arnaud Doucet OT 100 741 0 16 Oct 2013
Subgraph Matching Kernels for Attributed Graphs Nils Kriege Petra Mutzel 61 279 0 27 Jun 2012