26 datasets found

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  • Spatial Interaction Networks

    The dataset is a collection of spatially coordinated interactions, which consist of a collection of primitive variables, each of them being essentially unique, so that it...
  • Simulated data

    Simulated data from five standard data generating processes (DGPs) to evaluate when SGTs and Booging outperform their counterparts relying on their traditionally associated...
  • Trophic Network

    The dataset used in this paper is a trophic network, consisting of 125 nodes and 1907 edges, in which nodes correspond to groups of organisms in the Florida Bay ecosystem.
  • Vertex nomination schemes for stochastic block models

    The dataset used in this paper is a stochastic block model with a block of interest V1, and a partially observed block membership function b.
  • IMDB-BINARY and IMDB-MULTI datasets

    IMDB-BINARY and IMDB-MULTI datasets for graph clustering
  • PEOPLEMAP

    PEOPLEMAP is an open-source interactive web-based tool that uses natural language processing (NLP) to create visual maps for researchers based on their research interests and...
  • Stock exchanges network

    The dataset used in the paper is the world's stock exchanges network, modeled as a network of coupled oscillators.
  • Amazon instances

    The dataset used in this paper is the Amazon instances, which are a collection of networks representing the relationships between users and items on the Amazon website.
  • Sierra Leone Ebola Database (SLED)

    Contact tracing data from the Sierra Leone Ebola Database (SLED) used to validate a network epidemiology framework connecting the population, community, and individual scales of...
  • Symptom Network

    The dataset used in this study is a symptom network constructed from a large-scale dataset of psychological screening data collected from university students.
  • Water Pollution Dataset

    The Water Pollution Dataset is a real-world network of 12,527 nodes and 14831 edges, and 4 nodes with chemical contaminant plumes that are distributed in four different areas.
  • TUDataset

    The TUDataset is a collection of benchmark datasets for learning with graphs. It contains 14 datasets, each with a different type of graph.
  • Simulated E. coli network data

    The dataset used in this paper is a simulated data set, generated using the E. coli network.
  • Karate Club Network

    The dataset used in this paper is a karate club network, consisting of 34 nodes, each corresponding to a member of a college karate club.
  • Sifting out communities in large sparse networks

    Large-scale networks of genetic interactions, logistics, and social communities. The dataset is used to test the proposed two-step procedure for clustering large sparse networks.
  • Random networks dataset

    The dataset contains 40 random networks analyzed using the sampling method.
  • Global Trade Network Time Series

    The dataset is a global trade network time series extracted from Correlates of War project, capturing information on annual bilateral trade flows among countries between 1870...
  • Cora citation network

    The Cora citation network dataset is used to evaluate the performance of graph embedding methods on real-world data.
  • Facebook Social Circles

    The Facebook Social Circles dataset contains information about the social connections between users on Facebook.
  • Facebook

    Matrix factorization (MF) and Autoencoder (AE) are among the most successful approaches of unsupervised learning.