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Found 6 papers, 5 papers with code
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents
Given the global scale of COVID-19 and the flood of social media content related to it, how can we find informative discussions?
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
We present the Temporal Graph Benchmark (TGB), a collection of challenging and diverse benchmark datasets for realistic, reproducible, and robust evaluation of machine learning models on temporal graphs.
Fast and Attributed Change Detection on Dynamic Graphs with Density of States
Current solutions do not scale well to large real-world graphs, lack robustness to large amounts of node additions/deletions, and overlook changes in node attributes.
The Surprising Performance of Simple Baselines for Misinformation Detection
As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours.
Linking Social Media Posts to News with Siamese Transformers
Many computational social science projects examine online discourse surrounding a specific trending topic.
Trouble with the Curve: Predicting Future MLB Players Using Scouting Reports
In baseball, a scouting report profiles a player's characteristics and traits, usually intended for use in player valuation.
