CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...

We illustrate the importance of mass scales and their relation in the specific case of the linear sigma model within the context of its one loop Ward identities. In the calculation it becomes apparent ...

Cubic graphs have “point symmetry,” which means there’s a special point on the graph of every cubic function where, if a line passes through that point and intersects the cubic anywhere else, it ...

Relation One, a one-stop Web 3 social app, aims to break the centralized social graph dilemma by building a personalized visual Web3 social graph for users and returning ownership and privacy of ...

In this paper, we extend graph neural network to heterogeneous graph scenes, and propose a novel high-order Symmetric Relation based Heterogeneous Graph Attention Network, denoted as SR-HGAT, which ...

A framework for evaluating Knowledge Graph Embedding Models in a fine-grained manner. The framework and experimental results are described in Ben Rim et al. 2021 (Outstanding Paper Award, AKBC 2021).

Computational Intelligence Laboratory, Toyota Technological Institute, Nagoya, Japan We deal with a heterogeneous pharmaceutical knowledge-graph containing textual information built from several ...

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs).