Datasets & Competitions
The Ogbn-Arxiv dataset (Arxiv for short) represents an academic citation network. In this network structure, papers serve as nodes, citations between papers form edges, and paper abstracts constitute the textual attributes. The primary task involves subject prediction for papers. We utilize the publicly available partitions, ground truth labels, and textual data from OGB
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<p>This dataset represents a user interaction network from Reddit, where individual users are represented as nodes. The network connections (edges) are established when users interact through replies. Each node contains features derived from the user's subreddit posting history. The classification goal is to identify users within the top 50% popularity bracket, based on their subreddit score averages. </p>
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This dataset comprises a social media network structure where user accounts function as nodes and follower relationships constitute edges. The initial dataset is from [1], and the work adds the graph structure information through Instagram's public API. The main objective is distinguish between commercial and regular user accounts.
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