research
∙
06/16/2021
Optimizing Graph Transformer Networks with Graph-based Techniques
Graph transformer networks (GTN) are a variant of graph convolutional ne...
share
research
∙
11/05/2020
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining
Graph pattern mining (GPM) is used in diverse application areas includin...
research
∙
12/27/2019
EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation
Fully-Homomorphic Encryption (FHE) offers powerful capabilities by enabl...
research
∙
11/20/2019
An Adaptive Load Balancer For Graph Analytical Applications on GPUs
Load balancing graph analytics workloads on GPUs is difficult because of...
research
∙
11/16/2019
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU
There is growing interest in graph mining algorithms such as motif count...
research
∙
09/08/2019
Distributed Word2Vec using Graph Analytics Frameworks
Word embeddings capture semantic and syntactic similarities of words, re...
research
∙
04/15/2019
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory
Intel Optane DC Persistent Memory is a new kind of byte-addressable memo...
research
∙
10/01/2018