Jun 19, 2024 · In this work, we focus on addressing issues that arise with evolving graphs, whose network topology is partially unknown throughout the graph ...
Temporally-aware node embeddings for evolving networks topologies
dl.acm.org › doi › abs › AIC-230028
Jun 19, 2024 · EVNE's embeddings achieve better performance than others, based on experiments with four classifiers and five datasets. In addition, we present ...
Title. Temporally-aware node embeddings for evolving networks topologies. Authors. Enes, Karen B.; Nunes, Matheus; Murai, Fabricio; Pappa, Gisele L.
Jan 4, 2023 · We propose a biased random walk method named Evolving Node Embedding (EVNE), which leverages the sequential relationship of graph snapshots.
Nov 8, 2024 · As a second baseline method we use the time-aware graph embedding EVO [6] , which models correlations in the sequence of nodes traversed by time ...
[PDF] Node Embedding over Temporal Graphs - Semantic Scholar
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An algorithm is proposed that learns the evolution of a temporal graph's nodes and edges over time and incorporates this dynamics in a temporal node ...
This paper addresses the problem of learning temporal graph representations, which capture the changing nature of complex evolving networks.
We propose a biased random walk method named Evolving Node Embedding (EVNE), which leverages the sequential relationship of graph snapshots by incorporating ...
To address this issue, a high-order spatio-temporal embedding model is developed to track the evolutions of dynamic networks. Specifically, an activeness-aware ...
Oct 2, 2024 · We then propose a structure-reinforced graph transformer that captures temporal node representations encoding both graph topology and evolving ...