Following extensive discussions, the comm- tee accepted 38 long papers, 3 short papers and 3 long system demos, each of which were presented during one of the conference's 12 sessions. Eight posters were also a
We can still ask the model which observation is the most likely in the next time step, or even several time steps ahead, and BP will produce the exact answer by analytically integrating over all possible past and future actions, and even over the unseen future observations when necessary. ...
Over the past few years, several survey articles on anomaly detection methods [10], anomaly detection for fraud detection [[13], [14], [15]], and application of graph-based methods on anomaly detection [3,9,11,12] have been published. Our focus is to review papers on anomaly detection...
Both papers investigate a linearized ODE approximation of the SIS process based on meta-population considerations on dense graphs. The main difference is [33] works with an additive noise term put into the quenched ODE system artificially to study the stability of the epidemic, while [18] works...
In this section, we summarize the papers about the theoretic foundations and explanations of graph neural networks from various perspectives. Graph signal processing 7.1.1 From the spectral perspective of view, GCNs perform convolution operation on the input features in the spectral domain, which fol...
He has published more than 170 papers in various journals, conferences and work- shops on such topics. He is a member of the steering committee of the International Conference on Model Transformation (ICMT), of the Software Language Engi- neering (SLE) conference, of the Seminar Series on ...
Following extensive discussions, the comm- tee accepted 38 long papers, 3 short papers and 3 long system demos, each of which were presented during one of the conference's 12 sessions. Eight posters were also accepted and were on display throughout the conference. Two invited speakers, Kurt ...
Over the past few years, several survey articles on anomaly detection methods [10], anomaly detection for fraud detection [[13], [14], [15]], and application of graph-based methods on anomaly detection [3,9,11,12] have been published. Our focus is to review papers on anomaly detection...
Article SAT-GATv2: A Dynamic Attention-Based Graph Neural Network for Solving Boolean Satisfiability Problem Wenjing Chang 1,* and Wenlong Liu 2 1 School of Software, Henan Polytechnic University, Jiaozuo 454000, China 2 School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo...