activity
20142026
most citedMedical Text Classification using Convolutional Neural Networks

189 citations · 584 across the 63 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

q-fin.GN2019★ 1 cited

Exploring Multi-Banking Customer-to-Customer Relations in AML Context with Poincaré Embeddings

Lucia Larise Stavarache, Donatas Narbutis, Toyotaro Suzumura +2

In the recent years money laundering schemes have grown in complexity and speed of realization, affecting financial institutions and millions of customers globally. Strengthened pr…

cs.CY2019★ 22 cited

Towards Federated Graph Learning for Collaborative Financial Crimes Detection

Toyotaro Suzumura, Yi Zhou, Natahalie Baracaldo +10

Financial crime is a large and growing problem, in some way touching almost every financial institution. Financial institutions are the front line in the war against financial crim…

cs.DC2019★ 3 cited

Distributed Edge Partitioning for Trillion-edge Graphs

Masatoshi Hanai, Toyotaro Suzumura, Wen Jun Tan +3

We propose Distributed Neighbor Expansion (Distributed NE), a parallel and distributed graph partitioning method that can scale to trillion-edge graphs while providing high partiti…

cs.LG2019★ 22 cited

Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis

Daiki Matsunaga, Toyotaro Suzumura, Toshihiro Takahashi

Recently, there has been a surge of interest in the use of machine learning to help aid in the accurate predictions of financial markets. Despite the exciting advances in this cros…

cs.LG2019

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Aldo Pareja, Giacomo Domeniconi, Jie Chen +6

Graph representation learning resurges as a trending research subject owing to the widespread use of deep learning for Euclidean data, which inspire various creative designs of neu…