Browse > Graphs > Topological Data Analysis

Topological Data Analysis

22 papers with code · Graphs

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

To Trust Or Not To Trust A Classifier

NeurIPS 2018 SeldonIO/alibi

Knowing when a classifier's prediction can be trusted is useful in many applications and critical for safely using AI.

TOPOLOGICAL DATA ANALYSIS

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

6 Apr 2020giotto-ai/giotto-tda

We introduce giotto-tda, a Python library that integrates high-performance topological data analysis with machine learning via a scikit-learn-compatible API and state-of-the-art C++ implementations.

TOPOLOGICAL DATA ANALYSIS

Persistence Images: A Stable Vector Representation of Persistent Homology

22 Jul 2015scikit-tda/persim

We convert a PD to a finite-dimensional vector representation which we call a persistence image (PI), and prove the stability of this transformation with respect to small perturbations in the inputs.

GRAPH CLASSIFICATION TOPOLOGICAL DATA ANALYSIS

PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures

20 Apr 2019MathieuCarriere/perslay

Persistence diagrams, the most common descriptors of Topological Data Analysis, encode topological properties of data and have already proved pivotal in many different applications of data science.

GRAPH CLASSIFICATION TOPOLOGICAL DATA ANALYSIS

Deep Learning with Topological Signatures

NeurIPS 2017 c-hofer/nips2017

Inferring topological and geometrical information from data can offer an alternative perspective on machine learning problems.

TOPOLOGICAL DATA ANALYSIS

Deep Graph Mapper: Seeing Graphs through the Neural Lens

10 Feb 2020crisbodnar/dgm

Recent advancements in graph representation learning have led to the emergence of condensed encodings that capture the main properties of a graph.

GRAPH CLASSIFICATION GRAPH REPRESENTATION LEARNING TOPOLOGICAL DATA ANALYSIS

Mapper on Graphs for Network Visualization

3 Apr 2018crisbodnar/dgm

We propose to apply the mapper construction--a popular tool in topological data analysis--to graph visualization, which provides a strong theoretical basis for summarizing network data while preserving their core structures.

TOPOLOGICAL DATA ANALYSIS

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology

ICLR 2019 BorgwardtLab/Neural-Persistence

While many approaches to make neural networks more fathomable have been proposed, they are restricted to interrogating the network with input data.

TOPOLOGICAL DATA ANALYSIS

Topology of Learning in Artificial Neural Networks

21 Feb 2019maximevictor/topo-learning

Understanding how neural networks learn remains one of the central challenges in machine learning research.

TOPOLOGICAL DATA ANALYSIS