ログミ

グラフ構造にまつわるサーベイ結果まとめ GNNからApplicationsまで Part1

2019年7月3日、nlpaper.challengeが主催するイベント「第1回 NLP/CV最先端勉強会」が開催されました。NLP/CVの知見をもとにEmbedding ...
EurekAlert!

Simplified multi-view graph neural network for multilingual knowledge graph completion

Knowledge graph completion (KGC) aims to fill in missing entities and relations within knowledge graphs (KGs) to address their incompleteness. Most existing KGC models suffer from knowledge coverage ...
ログミ

グラフ構造にまつわるサーベイ結果まとめ GNNからApplicationsまで Part2

2019年7月3日、nlpaper.challengeが主催するイベント「第1回 NLP/CV最先端勉強会」が開催されました。NLP/CVの知見をもとにEmbedding ...
EurekAlert!

Soft-GNN: towards robust graph neural networks via self-adaptive data utilization

Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness, ...