グラフ表現学習のためのシーケンス間モデリング 教師ありと教師なしの両方のレジームにおけるシーケンス間LSTMの提案。様々なレベルの粒度で、様々な種類の部分構造のシーケンスを使用してモデルをトレーニング。本手法が、グラフ分類タスクの精度を高めることを示した。https://t.co/mXC4TRyRG4
Sequence-to-sequence modeling for graph representation learning https://t.co/G34np0ms2s
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
Sequence-to-sequence modeling for graph representation learning https://t.co/p9biq5tS6w
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
RT @alexvespi: Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation…
Sequence-to-sequence modeling for graph representation learning “sequence-to-sequence architectures for graph representation learning in both supervised and unsupervised regimes” https://t.co/plDqW67bQ0 https://t.co/8NXJ2tc4sZ