https://openreview.net/forum?id=Q8k4WzGgnK
Implicit Graph Neural Networks: A Monotone Operator Viewpoint | OpenReview
Implicit graph neural networks (IGNNs) -- that solve a fixed-point equilibrium equation using Picard iteration for representation learning -- have shown...
graph neural networksmonotone operatorimplicitviewpointopenreview
https://openreview.net/forum?id=CnKf9TyYtf2
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment | OpenReview
We learn how to align graph representations of objects and use it as a foundation of a few-shot in-context imitation learning framework.
few shotin contextimitation learningimplicit graph
https://deepai.org/publication/implicit-graph-neural-diffusion-based-on-constrained-dirichlet-energy-minimization
Implicit Graph Neural Diffusion Based on Constrained Dirichlet Energy Minimization | DeepAI
Aug 7, 2023 - 08/07/23 - Implicit graph neural networks (GNNs) have emerged as a potential approach to enable GNNs to capture long-range dependencies effec...
implicit graphbased ondirichlet energyneuraldiffusion
https://openreview.net/forum?id=51aDG6Op46q
How Powerful is Implicit Denoising in Graph Neural Networks | OpenReview
We theoretically analyze the denoising effect in graph neural networks
graph neural networkspowerfulimplicitdenoisingopenreview
https://jmlr.org/papers/v21/18-638.html
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent
graphdependentimplicitregularisationdistributed
https://www.preprints.org/manuscript/202407.1040
A Knowledge Graph Based Implicit Requirements Mining Method in Personalized Products...
In the context of crowds innovation and the generative design driven by big language models, the personalized requirements has become the best engine for...
knowledge graphimplicit requirementsbased