Edutopia

The Power of Slow Reveal Graphs

One powerful way to do this is through a routine called slow reveal graphs.
Religion News Service

The Great Decline: 60 years of religion in one graph

The decline in religiosity over the past 15 years is twice as great as the decline in 1960s and 1970s. An update through 2013 is now available here. Religiosity in the United States is in the midst of ...
IEEE

Hiding in the Network: Attribute-Oriented Differential Privacy for Graph Neural Networks

Abstract: Graph Neural Networks (GNNs) have demonstrated remarkable potential in various downstream tasks by effectively capturing the relational dependencies among nodes in graphs. However, this ...
IEEE

Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense

Abstract: Knowledge Graph Embedding (KGE) has been widely studied as an important semantic enhancement technique that extracts expressive representation from Knowledge Graph (KG) to facilitate various ...
GitHub

Q#: Provably Optimal Distributional RL for LLM Post-Training

Reinforcement learning (RL) post-training is crucial for LLM alignment and reasoning, but existing policy-based methods, such as PPO and DPO, can fall short of fixing shortcuts inherited from ...