A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

Graph-based learning techniques traditionally focus on pairwise relationships, modelling them as edges between two nodes. Hypergraphs generalise this concept by allowing edges—known as hyperedges—to ...

Abstract: Designing expressive hypergraph kernels that can effectively capture high-order structural information is a fundamental challenge in hypergraph learning. In this paper, we propose a novel ...

Figure 1: Pipeline of the DHG-Bench. DHG-Bench provides a fair and comprehensive platform to evaluate existing HNN algorithms and facilitate future DHGL research. Our main contributions are summarized ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

The long-held idea that language learning is better before adulthood is up for debate. Adults have a number of advantages when it comes to learning a second language, and it comes with major benefits.

The debate over online versus in-person classroom learning in K-12 education rages on, driven by concerns over student engagement, academic performance, and social-emotional development. Advocates of ...

In the dynamic landscape of learning in the digital age, K-12 educators are increasingly leveraging technology tools to enhance teaching and learning experiences. These tools, ranging from interactive ...