New Graph Alignment Method Matches Users Across Networks Without Any Labelled Data
Researchers have developed IGA, an unsupervised graph alignment framework that uses isomorphism-aware neural networks to predict anchor links across social ...
Researchers have developed IGA, an unsupervised graph alignment framework that uses isomorphism-aware neural networks to predict anchor links across social ...
A major new review shows that human-driven environmental change is reshaping how animals associate with one another, with cascading effects ...
New University of Technology Sydney research based on interviews with 122 Australian consumers shows how socially reinforced misinformation communities sustain ...
A new study of four waves of the China Household Finance Survey finds that gift-giving burdens lower the happiness of ...
A comprehensive analysis of personal ornaments from Foradada cave sheds new light on the technological skill and social networks of ...
Researchers have developed GCC-LDP, a locally differentially private clustering method that uses Re-Pair graph compression and a two-round aggregation framework ...
A systematic review of 29 studies involving 6,225 people finds that individuals diagnosed with 'personality disorder' have smaller, less diverse ...
Researchers in China have developed a detection method that combines temporal knowledge graphs, time-series tensors, and a variational autoencoder paired ...
Researchers have developed a federated learning-based caching scheme that predicts socially popular content and pre-positions it at the network edge ...
A new dyadic study of 80 couples shows that perceptions of social network uncertainty and support predict both partners' relationship ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine