Results 81 to 90 of about 1,396 (204)
SEGCN: a subgraph encoding based graph convolutional network model for social bot detection
Message passing neural networks such as graph convolutional networks (GCN) can jointly consider various types of features for social bot detection. However, the expressive power of GCN is upper-bounded by the 1st-order Weisfeiler–Leman isomorphism test ...
Feng Liu +5 more
doaj +1 more source
Real models for the framed little n$n$‐disks operads
Abstract We study the action of the orthogonal group on the little n$n$‐disks operads. As an application we provide small models (over the reals) for the framed little n$n$‐disks operads. It follows in particular that the framed little n$n$‐disks operads are formal (over the reals) for n$n$ even and coformal for all n$n$.
Anton Khoroshkin, Thomas Willwacher
wiley +1 more source
Recent Advances in NASICON‐Type Electrolytes for Solid‐State Metal Batteries
NASICON‐type solid electrolytes are one of the potential candidates for solid‐state rechargeable batteries, which are paid much attention by both academic and industrial communities. ABSTRACT Compared to traditional liquid electrolyte batteries, solid metal batteries offer advantages such as a wide operating temperature range, high energy density, and ...
Jingrui Kang +17 more
wiley +1 more source
The Hardness of Subgraph Isomorphism
Subgraph Isomorphism is a very basic graph problem, where given two graphs $G$ and $H$ one is to check whether $G$ is a subgraph of $H$. Despite its simple definition, the Subgraph Isomorphism problem turns out to be very broad, as it generalizes problems such as Clique, $r$-Coloring, Hamiltonicity, Set Packing and Bandwidth.
Cygan, Marek +2 more
openaire +2 more sources
In a distributed environment, the volume of graph database increases quickly because graphs emerge from several autonomous sources. Sub-graph query processing is a challenging problem in distributed environment.
Shaik Fathimabi +2 more
doaj +1 more source
Subgraph Isomorphism in Temporal Networks
Temporal information is increasingly available as part of large network data sets. This information reveals sequences of link activations between network entities, which can expose underlying processes in the data. Examples include the dissemination of information through a social network, the propagation of musical ideas in a music sampling network ...
Redmond, Ursula +1 more
openaire +3 more sources
Explainable Neural Subgraph Matching With Learnable Multi-Hop Attention
Subgraph matching is a challenging problem with a wide range of applications in drug discovery, social network analysis, biochemistry, and cognitive science.
Duc Q. Nguyen +5 more
doaj +1 more source
Deep Analysis on Subgraph Isomorphism
Subgraph isomorphism is a well-known NP-hard problem which is widely used in many applications, such as social network analysis and knowledge graph query. Its performance is often limited by the inherent hardness. Several insightful works have been done since 2012, mainly optimizing pruning rules and matching orders to accelerate enumerating all ...
Zeng, Li +3 more
openaire +2 more sources
FSM-BC-BSP: Frequent Subgraph Mining Algorithm Based on BC-BSP
As graph models become increasingly prevalent in the processing of scientific data, the exploration of effective methods for the mining of meaningful patterns from large-scale graphs has garnered significant research attention. This paper delves into the
Fangling Leng +4 more
doaj +1 more source

