Talks and presentations

• [2024.02][Talk] Professor Trey Ideker’s lab at University of California San Diego
• [2024.02][Talk] Professor Jian Ma’s lab at Carnegie Mellon University
• [2024.01][Talk] Learning on Graphs (LoG) local meetup at Mid-North US
• [2023.03][Poster] CSHL-NetBio’23
  A Python Toolkit for Generating Benchmarking Datasets for Machine Learning with Biological Networks
• [2022.12][Talk] ISCB-Rokcy’22
  Systematic study of human diseases using graph signal processing
• [2022.12][Talk] LoG’22
  Taxonomy of benchmarks in graph representation learning
• [2022.09][Talk] SIAM-MDS’22
  Understanding dataset characteristics via graph diffusion
• [2022.07][Talk] ISMB’22
  Accurately identify disease genes and contexts using context specific network embeddings
• [2021.05][Talk] GLBIO’21
  Accurate network-based gene classifiaction with ultra-fast context-specific node embeddings
• [2020.07][Poster] ISMB’20
  PecanPy: a fast, efficient, and parallelized Python implementation for node2vec
• [2019.08][Poster] CoCoH’19
  Supervised-learning is an accurate method for network-based gene classification
• [2019.03][Poster] CSHL-NetBio’19
  Machine learning outperforms label propagation for network-based gene classification