Research on and around e-graphs has recently exploded in both quantity and diversity. The data structure that powers SMT solvers is now seeing use in synthesis, optimization, and verification via equality saturation and related techniques. In addition to recent advances in the core data structure and techniques, researchers and practitioners are applying e-graphs to domains such as compilers, floating point accuracy, test generation, computational fabrication, automatic vectorization, deep learning compute graphs, symbolic computation, and more. The second EGRAPHS workshop will bring toge ...