113 citations · 598 across the 33 of their papers we have counts for
7 papers · 1 filter
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping
Fatemeh Teimury, Bruno Roy, Juan Sebastián Casallas +2
Recently there has been a significant effort to automate UV mapping, the process of mapping 3D-dimensional surfaces to the UV space while minimizing distortion and seam length. Alt…
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Yishi Xu, Yingxue Zhang, Wei Guo +3
Given the convenience of collecting information through online services, recommender systems now consume large scale data and play a more important role in improving user experienc…
Node Copying for Protection Against Graph Neural Network Topology Attacks
Florence Regol, Soumyasundar Pal, Mark Coates
Adversarial attacks can affect the performance of existing deep learning models. With the increased interest in graph based machine learning techniques, there have been investigati…
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Florence Regol, Soumyasundar Pal, Yingxue Zhang +1
Node classification in attributed graphs is an important task in multiple practical settings, but it can often be difficult or expensive to obtain labels. Active learning can impro…
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin, Arezou Amini, Lucy Coyle +1
Forecasting of multivariate time-series is an important problem that has applications in traffic management, cellular network configuration, and quantitative finance. A special cas…
Non-Parametric Graph Learning for Bayesian Graph Neural Networks
Soumyasundar Pal, Saber Malekmohammadi, Florence Regol +3
Graphs are ubiquitous in modelling relational structures. Recent endeavours in machine learning for graph-structured data have led to many architectures and learning algorithms. Ho…