How powerful are graph neural networks?
Graph Neural Networks (GNNs) are an effective framework for representation learning of
graphs. GNNs follow a neighborhood aggregation scheme, where the representation vector …
graphs. GNNs follow a neighborhood aggregation scheme, where the representation vector …
Breaking the limit of graph neural networks by improving the assortativity of graphs with local mixing patterns
Graph neural networks (GNNs) have achieved tremendous success on multiple graph-
based learning tasks by fusing network structure and node features. Modern GNN models …
based learning tasks by fusing network structure and node features. Modern GNN models …
Engineering egress with edge fabric: Steering oceans of content to the world
B Schlinker, H Kim, T Cui, E Katz-Bassett… - Proceedings of the …, 2017 - dl.acm.org
Large content providers build points of presence around the world, each connected to tens
or hundreds of networks. Ideally, this connectivity lets providers better serve users, but …
or hundreds of networks. Ideally, this connectivity lets providers better serve users, but …
Five years at the edge: Watching internet from the isp network
The Internet and the way people use it are constantly changing. Knowing traffic is crucial for
operating the network, understanding users' need, and ultimately improving applications …
operating the network, understanding users' need, and ultimately improving applications …
Network hygiene, incentives, and regulation: deployment of source address validation in the internet
The Spoofer project has collected data on the deployment and characteristics of IP source
address validation on the Internet since 2005. Data from the project comes from participants …
address validation on the Internet since 2005. Data from the project comes from participants …
A data-driven method for future Internet route decision modeling
Simulating the BGP routing system of Internet is crucial to the analysis of Internet backbone
network routing behavior, locating network failure and, evaluating network performance for …
network routing behavior, locating network failure and, evaluating network performance for …
Cloud provider connectivity in the flat internet
The Tier-1 ISPs have been considered the Internet's backbone since the dawn of the
modern Internet 30 years ago, as they guarantee global reachability. However, their …
modern Internet 30 years ago, as they guarantee global reachability. However, their …
Mapping the expansion of Google's serving infrastructure
Modern content-distribution networks both provide bulk content and act as" serving
infrastructure" for web services in order to reduce user-perceived latency. Serving …
infrastructure" for web services in order to reduce user-perceived latency. Serving …
ARTEMIS: Neutralizing BGP hijacking within a minute
Border gateway protocol (BGP) prefix hijacking is a critical threat to Internet organizations
and users. Despite the availability of several defense approaches (ranging from RPKI to …
and users. Despite the availability of several defense approaches (ranging from RPKI to …
Inferring complex AS relationships
The traditional approach of modeling relationships between ASes abstracts relationship
types into three broad categories: transit, peering, and sibling. More complicated …
types into three broad categories: transit, peering, and sibling. More complicated …