
RNN with Particle Flow for Probabilistic Spatiotemporal Forecasting
Spatiotemporal forecasting has numerous applications in analyzing wirel...
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TIE: A Framework for Embeddingbased Incremental Temporal Knowledge Graph Completion
Reasoning in a temporal knowledge graph (TKG) is a critical task for inf...
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KnowledgeEnhanced TopK Recommendation in Poincaré Ball
Personalized recommender systems are increasingly important as more cont...
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Probabilistic Metric Learning with Adaptive Margin for TopK Recommendation
Personalized recommender systems are playing an increasingly important r...
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GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping
Recently there has been a significant effort to automate UV mapping, the...
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GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Given the convenience of collecting information through online services,...
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Node Copying for Protection Against Graph Neural Network Topology Attacks
Adversarial attacks can affect the performance of existing deep learning...
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Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
Node classification in attributed graphs is an important task in multipl...
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NonParametric Graph Learning for Bayesian Graph Neural Networks
Graphs are ubiquitous in modelling relational structures. Recent endeavo...
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MultiGraph Convolution Collaborative Filtering
Personalized recommendation is ubiquitous, playing an important role in ...
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Memory Augmented Graph Neural Networks for Sequential Recommendation
The chronological order of useritem interactions can reveal timeevolvi...
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Bayesian Graph Convolutional Neural Networks using Node Copying
Graph convolutional neural networks (GCNN) have numerous applications in...
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Bayesian Graph Convolutional Neural Networks Using NonParametric Graph Learning
Graph convolutional neural networks (GCNN) have been successfully applie...
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Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization
We address the task of identifying densely connected subsets of multivar...
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Bayesian graph convolutional neural networks for semisupervised classification
Recently, techniques for applying convolutional neural networks to graph...
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Invertible Particle Flowbased Sequential MCMC with extension to Gaussian Mixture noise models
Sequential state estimation in nonlinear and nonGaussian state spaces ...
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Cost Adaptation for Robust Decentralized Swarm Behaviour
The multiagent swarm system is a robust paradigm which can drive effici...
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Microwave breast cancer detection using Empirical Mode Decomposition features
Microwavebased breast cancer detection has been proposed as a complemen...
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Semiparametric Orderbased Generalized Multivariate Regression
In this paper, we consider a generalized multivariate regression problem...
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Sparse Multivariate Factor Regression
We consider the problem of multivariate regression in a setting where th...
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GANC: Greedy Agglomerative Normalized Cut
This paper describes a graph clustering algorithm that aims to minimize ...
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Greedy Gossip with Eavesdropping
This paper presents greedy gossip with eavesdropping (GGE), a novel rand...
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Mark Coates
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