An Overview of Distance and Similarity Functions for Structured Data

An Overview of Distance and Similarity Functions for Structured Data

18 February 2020

Santiago Ontañón

Papers citing "An Overview of Distance and Similarity Functions for Structured Data"

8 / 8 papers shown

Title
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 96 528 0 29 Apr 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 208 7,623 0 01 Oct 2018
RetGK: Graph Kernels based on Return Probabilities of Random Walks Zhen Zhang Mianzhi Wang Yijian Xiang Yuanmin Huang A. Nehorai 87 106 0 07 Sep 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 563 3,112 0 04 Jun 2018
An Empirical Evaluation of Similarity Measures for Time Series Classification Joan Serrà J. Arcos AI4TS 68 213 0 16 Jan 2014
A Survey on Metric Learning for Feature Vectors and Structured Data A. Bellet Amaury Habrard M. Sebban 105 681 0 28 Jun 2013
Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language Philip Resnik 72 2,361 0 27 May 2011
Support Vector Machine Classification with Indefinite Kernels Ronny Luss Alexandre d’Aspremont 113 138 0 01 Apr 2008