SelfLoops takes its name from the self-loop in graph theory, a self-loop is an edge that connects a vertex to itself. We are convinced that improvements can only be made if we have the ability to measure and an
graph theoryquantum gravity/ graph-theory induced gravitystrongly-degenerate fermionsself-consistent Einstein universeultraviolet-finite theoryDirac fieldsscalar fieldsWe study UV-finite theory of induced gravity. We use scalar fields, Dirac fields and vector fields as matter fields whose one-loop effects ...
For instance, by disconnecting electrically at the position marked by scissors in the top left of the figure, and forming a tree structure in graph theory (defined as a connected graph with no loops nor cut ends) as shown in the bottom right, a single-stroke path can be established ...
1, we demonstrate how both the GNN and AE in prior work can be eliminated from main training loop and inference, whilst still obtaining state-of-the-art in self supervised graph clustering. We incorporate structure using augmentation-less edge-contrastive loss and avoid complex fusion operators. ...
The physical relevancy of all models is analyzed by evaluating the four-photon-tadpole diagram, which, when combined with the bubble graph, enables us to fully consider all contributions to the one-loop photon polarization tensor. For an arbitrary noncommutative matrix 胃, the full quadratic IR ...
of containing less parameters than view-based architectures and only require 1 pass through the NN backbone instead of 1 pass for each render in a view-based model. Other types of architectures include graph-based models such as DGCNN[35]and transformer-based models[47], e.g. Pointformer[48...
Business leaders need information to make critical decisions and anticipate and respond to industry and market changes. In theory, today’s vast stores of data should make gaining insights easier. But too often the reality is that getting relevant data requires a request to an IT staff already ...
a, A DNA assembly graph defines which sequence elements have compatible overhangs and can be joined to produce a valid gene sequence. Any path from the Start codon to the Stop codon (for example, the red line) is a full gene sequence that can be assembled using Golden Gate cloning. Our ...
Two mathematical models, including core loss component, are developed for the steady state analysis of single phase self excited induction generators (SEIG) using nodal admittance and loop impedance method based on graph theory. These models do not involve any lengthy derivations of nonlinear equations...
Graph self-supervised learning is an effective technique for learning common knowledge from unlabeled graph data through pretext tasks. To capture the interrelationships between nodes and their essential roles globally, existing methods use clustering labels as self-supervised signals. However, in some cas...