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Found 4 papers, 1 papers with code
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks
In this work, we develop a two stage stance labeling method that utilizes the user-hashtag bipartite graph and the user-user interaction graph.
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
This lack of instrumentation severely inhibits scientific advancement in provenance graph machine learning by hindering reproducibility and limiting the availability of data that are critical for techniques like graph neural networks.
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks
In contrast to prior work, RAHMeN is a more expressive embedding framework that embraces the multi-faceted nature of nodes in such networks, producing a set of multi-embeddings that capture the varied and diverse contexts of nodes.
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
- and the lack of baseline models for fringe outlets such as Gab.
