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A multi-view heterogeneous and extractive graph attention network for evidential document-level event factuality identification

Document-level Event Factuality Identification (DEFI) has always been the focus of Information Extraction and Information Credibility. This paper studies a novel task named Evidential Document-level ...
EurekAlert!

Heterogeneous spatio-temporal graph contrastive learning for point-of-interest recommendation

As one of the most crucial topics in the recommendation system field, Point-of-Interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks ...
Indiatimes

Instant scholar - Falcon: A graph manipulation language for distributed heterogeneous systemsPhD thesis by Unnikrishnan Cheramangalath

A new framework called Falcon, developed by Unnikrishnan Cheramangalath, is revolutionizing graph analytics. This domain-specific language simplifies complex computations across diverse computing ...
EDN

Commentary: Revisiting heterogeneous vs. homogeneous

Back in 2001, I wrote a column about the merits of using heterogeneous designs for signal processing-oriented applications. My argument went like this: Signal-processing applications typically ...