GAP is a graph processing benchmark suite with the goal of helping to standardize graph processing evaluations. The benchmark not only specifies graph kernels, input graphs, and evaluation methodologies, but it also provides optimized baseline implementations. Graph framework developers can demonstrate the generality of their programming model by implementing all of the benchmark's kernels and delivering competitive performance on all of the benchmark's graphs Algorithm designers can use the input graphs and the baseline implementations to demonstrate their contribution. Platform designers and performance analysts can use the suite as a workload representative of graph processing.
48 PAPERS • 1 BENCHMARK
Comet is a dataset which contains 11.5k user-assistant dialogs (totalling 103k utterances), grounded in simulated personal memory graphs.
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…Specifically, that authors construct a dialog grammar that is grounded in the scene graphs of the images from the CLEVR dataset.
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