From the 1 of 4 linked papers with an AI index.
4 papers
How Millions Coordinate at Scale: Engagement, Collaboration, and Conflict in Three Editions of Reddit r/place
Yutong Wu, Arlei Silva
The paper analyzes participation, collaboration, and conflict in three editions of Reddit's r/place experiment, using large-scale action logs and a graph-based dynamic clustering m…
DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs
Xinyu Yao, Daniel Bourgeois, Abhinav Jain +5
We study the problem of assigning operations in a dataflow graph to devices to minimize execution time in a work-conserving system, with emphasis on complex machine learning worklo…
Fair Graph Machine Learning under Adversarial Missingness Processes
Debolina Halder Lina, Arlei Silva
Graph Neural Networks (GNNs) have achieved state-of-the-art results in many relevant tasks where decisions might disproportionately impact specific communities. However, existing w…
Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision
Delaram Pirhayati, Arlei Silva
Graph Anomaly Detection (GAD) has demonstrated great effectiveness in identifying unusual patterns within graph-structured data. However, while labeled anomalies are often scarce i…