Additionally,wepropose theGraphCroc, anewGAE thatsupports flexible encoder architectures tailored forvarious downstream tasksand ensures robust structural reconstruction, through a mirrored encoding-decoding process.

Wephrase the challenge ofsolving SMT formulas asatree search problemwhere ateach step atransformation is applied to the input formula until the formula is solved.

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After observing a sample, the analyst may update their estimate of the mean and variance of that group and choose the next group accordingly. The analyst's objective is to dynamically collect samples to minimize the

Ontheotherhand,wefindthatstrong regularization is not necessary for learning high-quality feature representations.