31 citations · 32 across the 4 of their papers we have counts for
4 papers
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez
We present a novel edge-level ego-network encoding for learning on graphs that can boost Message Passing Graph Neural Networks (MP-GNNs) by providing additional node and edge featu…
Beyond 1-WL with Local Ego-Network Encodings
Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez
Identifying similar network structures is key to capture graph isomorphisms and learn representations that exploit structural information encoded in graph data. This work shows tha…
Uncovering the Limits of Text-based Emotion Detection
Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez
Identifying emotions from text is crucial for a variety of real world tasks. We consider the two largest now-available corpora for emotion classification: GoEmotions, with 58k mess…
Inductive Graph Embeddings through Locality Encodings
Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez
Learning embeddings from large-scale networks is an open challenge. Despite the overwhelming number of existing methods, is is unclear how to exploit network structure in a way tha…