Thanapalasingam, Thiviyan

3 publications

TMLR 2025 GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem

NeurIPS 2023 A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak, Frank van Harmelen, Annette Ten Teije

NeurIPSW 2023 GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem