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Found 6 papers, 4 papers with code
Constrained Layout Generation with Factor Graphs
This paper addresses the challenge of object-centric layout generation under spatial constraints, seen in multiple domains including floorplan design process.
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Message passing Graph Neural Networks (GNNs) are known to be limited in expressive power by the 1-WL color-refinement test for graph isomorphism.
Web News Timeline Generation with Extended Task Prompting
The creation of news timeline is essential for a comprehensive and contextual understanding of events as they unfold over time.
Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing
We show how implicit GNN layers can be viewed as the fixed-point equation of a Dirichlet energy minimization problem and give conditions under which it may suffer from over-smoothing during training (OST) and inference (OSI).
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
In this work, we study performance degradation of GCNs by experimentally examining how stacking only TRANs or PROPs works.
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Empirical results show that state-of-the-art models have an outstanding ability to capture biases contained in the dataset with high accuracy on EASY set.
Ranked #1 on
Logical Reasoning Question Answering
on ReClor
