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cs.LG2025
GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
Minseok Jeon, Seunghyun Park
We present GDLNN, a new graph machine learning architecture, for graph classification tasks. GDLNN combines a domain-specific programming language, called GDL, with neural networks…
cs.LG2024
Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs
Gyeongmin Gu, Minseo Jeon, Hyun-Je Song +1
How can we effectively and efficiently learn node representations in signed bipartite graphs? A signed bipartite graph is a graph consisting of two nodes sets where nodes of differ…