Aegnn: Asynchronous event-based graph neural networks
The best performing learning algorithms devised for event cameras work by first converting
events into dense representations that are then processed using standard CNNs. However …
events into dense representations that are then processed using standard CNNs. However …
[BOK][B] Machine learning for data streams: with practical examples in MOA
A hands-on approach to tasks and techniques in data stream mining and real-time analytics,
with examples in MOA, a popular freely available open-source software framework. Today …
with examples in MOA, a popular freely available open-source software framework. Today …
X-stream: Edge-centric graph processing using streaming partitions
X-Stream is a system for processing both in-memory and out-of-core graphs on a single
shared-memory machine. While retaining the scatter-gather programming model with state …
shared-memory machine. While retaining the scatter-gather programming model with state …
Information network or social network? The structure of the Twitter follow graph
In this paper, we provide a characterization of the topological features of the Twitter follow
graph, analyzing properties such as degree distributions, connected components, shortest …
graph, analyzing properties such as degree distributions, connected components, shortest …
Four degrees of separation
Frigyes Karinthy, in his 1929 short story" Láncszemek"(in English," Chains") suggested that
any two persons are distanced by at most six friendship links. 1 Stanley Milgram in his …
any two persons are distanced by at most six friendship links. 1 Stanley Milgram in his …
Parallel and distributed graph neural networks: An in-depth concurrency analysis
Graph neural networks (GNNs) are among the most powerful tools in deep learning. They
routinely solve complex problems on unstructured networks, such as node classification …
routinely solve complex problems on unstructured networks, such as node classification …
Evolution of social-attribute networks: measurements, modeling, and implications using google+
Understanding social network structure and evolution has important implications for many
aspects of network and system design including provisioning, bootstrap** trust and …
aspects of network and system design including provisioning, bootstrap** trust and …
[PDF][PDF] Mining big data in real time
A Bifet - informatica, 2013 - informatica.si
Mining Big Data in Real Time 1 Introduction Page 1 Informatica 37 (2013) 15–20 15 Mining
Big Data in Real Time Albert Bifet Yahoo! Research Barcelona Avinguda Diagonal 177, 8th …
Big Data in Real Time Albert Bifet Yahoo! Research Barcelona Avinguda Diagonal 177, 8th …
Data-driven analysis of bitcoin properties: exploiting the users graph
Data analytic has recently enabled the uncovering of interesting properties of several
complex networks. Among these, it is worth considering the bitcoin blockchain, because of …
complex networks. Among these, it is worth considering the bitcoin blockchain, because of …
Uncovering the bitcoin blockchain: an analysis of the full users graph
BITCOIN is a novel decentralized cryptocurrency system which has recently received a great
attention from a wider audience. An interesting and unique feature of this system is that the …
attention from a wider audience. An interesting and unique feature of this system is that the …