LightGCN
PulseAugur coverage of LightGCN — every cluster mentioning LightGCN across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
AI estimates product carbon footprints for greener e-commerce
Researchers have developed a method to estimate product carbon footprints for e-commerce recommendations, even when labels are missing. This is achieved by inferring carbon data using semantic similarity and LLM prompti…
-
AI estimates product carbon footprints for greener e-commerce
Researchers have developed a method to estimate the carbon footprint of e-commerce products, even when labels are missing. This is achieved by using LLMs and semantic similarity to infer carbon footprints from a small s…
-
New GNN framework enhances recommender systems with dynamic user similarity
Researchers have developed a new framework called DG-SA-GNN to improve recommender systems by incorporating dynamic user similarity graphs. This approach addresses limitations of traditional methods that rely on static …
-
New PBiLoss method improves fairness in graph-based recommender systems
Researchers have developed PBiLoss, a new regularization technique to address popularity bias in graph-based recommender systems. This method aims to improve fairness by penalizing the over-recommendation of popular ite…