Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).

Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023

Benchmarking PEs for GNNs and Graph Transformers (KDD 2026)

Predict piano key striking velocity using Masked Language Modeling(MLM).

Code repository for "Weisfeiler and Leman Return with Graph Transformations" (MLG @ ECMLPKDD 2022)

🔊 Develop high-quality speech synthesis with onnx4144's Diff-SVC, an OpenVPI fork designed for advanced audio processing and models.