40 datasets found

Groups: Graphs Formats: JSON

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  • Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Cu...

    The dataset is a stream of attributed graphs, where each graph is a 3-tuple of matrices (A, X, E) representing the topology and attributes of the graph.
  • LastFM

    The dataset used in the paper is a collection of explicit interactions gathered from various sources, including music websites, movie ratings, book clubs, social networks, and...
  • MOOC

    MOOC dataset is a collection of students' answer records on various knowledge concepts in computer science.
  • KarateClub

    KarateClub is a small and undirected graph consisting of 34 nodes and 156 edges.
  • G2P xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns

    Node classification is the task of predicting the labels of unlabeled nodes in a graph. State-of-the-art methods based on graph neural networks achieve excellent performance...
  • Hitting Probability Metric

    The dataset is a collection of Markov chains and directed graphs, and the authors introduce a new metric on the state space of any ergodic, finite-state, time-homogeneous Markov...
  • Arabidopsis Cell Graph Dataset

    The dataset is used for learning edge weights for graphs, with applications to cell morphology analysis.
  • SGVAE: Sequential Graph Variational Autoencoder

    Generative models of graphs are well-known, but many existing models are limited in scalability and expressivity. We present a novel sequential graphical variational autoencoder...
  • Flickr

    The dataset used in the paper is a multi-graph problem, where each graph represents a different network. The dataset is used to evaluate the performance of the RECS algorithm on...
  • BlogCatalog

    The BlogCatalog dataset is a blog directory that manages bloggers and their blogs. Each unit is a blogger and the features are bag-of-words representations of keywords in...
  • ENZYMES

    The ENZYMES dataset contains 600 proteins from each of the 6 Enzyme Commission top-level enzyme classes (EC classes) and the goal was to correctly predict enzyme class...
  • Graph Neural Networks

    Graph Neural Networks (GNNs) have emerged as powerful tools for learning graph-structured data in various domains.
  • Graph Edit Distance

    Graph Edit Distance as a quadratic assignment problem.
  • Graph Convolutional Neural Networks

    Graphs are frequently used in various fields of computer science, since they constitute a universal modeling tool which allows the description of structured data.
  • Cora, Citeseer, and PubMed datasets

    The dataset used in the paper is a citation network, specifically the Cora, Citeseer, and PubMed datasets.
  • PROTEINS

    A dataset for learning distributed representations of graphs using discrete substructure patterns and neural language models.
  • Cora and Citeseer datasets

    The Cora and Citeseer datasets are used for training machine learning models to classify documents into different categories.
  • Wiki

    A bipartite interaction graph that contains the edits on Wikipedia pages over a month.
  • WikiCS article citation network

    The WikiCS article citation network is a dataset consisting of nodes corresponding to CS articles with edges based on hyperlinks and 10 classes representing different branches...
  • ogbn-arxiv

    The ogbn-arxiv dataset is a citation network dataset, which is a directed graph, denoting the citation network between all Computer Science (CS) arXiv papers extracted from the...
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