Recent years have witnessed the growing popularity of domain-specific
ac...
Open Source Software (OSS) is forming the spines of technology
infrastru...
Two-view knowledge graphs (KGs) jointly represent two components: an ont...
Recent advances have shown the success of using reinforcement learning a...
High-level synthesis (HLS) has freed the computer architects from develo...
Over the past decade, multivariate time series classification (MTSC) has...
We introduce Bi-GNN for modeling biological link prediction tasks such a...
In this work, we are interested in the large graph similarity computatio...
Detecting the Maximum Common Subgraph (MCS) between two input graphs is
...
We introduce a novel approach to graph-level representation learning, wh...
We introduce GSimCNN (Graph Similarity Computation via Convolutional Neu...
Graph Edit Distance (GED) computation is a core operation of many widely...
Graph similarity search is among the most important graph-based applicat...