PiPE combines positional encodings with persistent homology features in a message-passing framework and is claimed to be provably more expressive than either approach alone, with empirical gains on molecular benchmarks.
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Positional Encoding meets Persistent Homology on Graphs
PiPE combines positional encodings with persistent homology features in a message-passing framework and is claimed to be provably more expressive than either approach alone, with empirical gains on molecular benchmarks.