:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Truong, Quang, Chin, Peter
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2308.06838
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Weisfeiler and Lehman Go Categorical
by: Choi, Seongjin, et al.
Published: (2026)

Edged Weisfeiler-Lehman Algorithm
by: Yue, Xiao, et al.
Published: (2025)

Weisfeiler Lehman Test on Combinatorial Complexes: Generalized Expressive Power of Topological Neural Networks
by: Chen, Jiawen, et al.
Published: (2026)

Generalizing Weisfeiler-Lehman Kernels to Subgraphs
by: Kim, Dongkwan, et al.
Published: (2024)

Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
by: Kummer, Lorenz, et al.
Published: (2023)

Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
by: Perez, Raphaël Carpintero, et al.
Published: (2024)

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
by: Feng, Jiarui, et al.
Published: (2023)

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
by: Zhang, Bohang, et al.
Published: (2024)

Weisfeiler-Lehman meets Events: An Expressivity Analysis for Continuous-Time Dynamic Graph Neural Networks
by: Beddar-Wiesing, Silvia, et al.
Published: (2025)

How Hard Is It for Message-Passing GNNs to Simulate One Weisfeiler-Lehman Color-Refinement Step?
by: Cui, Guanyu, et al.
Published: (2024)

Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
by: Beddar-Wiesing, Silvia, et al.
Published: (2022)

Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
by: Paolino, Raffaele, et al.
Published: (2024)

Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
by: Kummer, Lorenz, et al.
Published: (2025)

HWL-HIN: A Hypergraph-Level Hypergraph Isomorphism Network as Powerful as the Hypergraph Weisfeiler-Lehman Test with Application to Higher-Order Network Robustness
by: Tian, Chengyu, et al.
Published: (2025)

Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
by: Subramonian, Arjun, et al.
Published: (2023)

Weisfeiler Leman for Euclidean Equivariant Machine Learning
by: Hordan, Snir, et al.
Published: (2024)

Aligning Transformers with Weisfeiler-Leman
by: Müller, Luis, et al.
Published: (2024)

Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm
by: Liu, Meng, et al.
Published: (2022)

Machine Learning-Based Path Loss Modeling with Simplified Features
by: Ethier, Jonathan, et al.
Published: (2024)

RSVP: Beyond Weisfeiler Lehman Graph Isomorphism Test
by: Dutta, Sourav, et al.
Published: (2024)

On Rademacher Complexity-based Generalization Bounds for Deep Learning
by: Truong, Lan V.
Published: (2022)

Multi-Path Collaborative Reasoning via Reinforcement Learning
by: Lv, Jindi, et al.
Published: (2025)

On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
by: Lanzinger, Matthias, et al.
Published: (2023)

Path Learning with Trajectory Advantage Regression
by: Miyaguchi, Kohei
Published: (2025)

From Token Lists to Graph Motifs: Weisfeiler-Lehman Analysis of Sparse Autoencoder Features
by: Fernandez-Boullon, Ruben, et al.
Published: (2026)

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
by: Tarbouriech, Jean, et al.
Published: (2026)

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
by: Chia, Yew Ken, et al.
Published: (2024)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
by: Xu, Ronghui, et al.
Published: (2024)

NeuroPathNet: Dynamic Path Trajectory Learning for Brain Functional Connectivity Analysis
by: Guo, Tianqi, et al.
Published: (2025)

PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
by: Kim, Hyunsung, et al.
Published: (2026)

Learning Shortest Paths When Data is Scarce
by: Matsypura, Dmytro, et al.
Published: (2026)

Unsupervised Learning for the Elementary Shortest Path Problem
by: Chen, Jingyi, et al.
Published: (2025)

Causal Additive Models with Unobserved Causal Paths and Backdoor Paths
by: Pham, Thong, et al.
Published: (2025)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
by: Huang, Xiaohan, et al.
Published: (2025)

Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
by: Seong, Kiyoung, et al.
Published: (2024)

Robust Multi-Manifold Clustering via Simplex Paths
by: Chen, Haoyu, et al.
Published: (2025)

Machine-Learned Sampling of Conditioned Path Measures
by: Jiang, Qijia, et al.
Published: (2025)

Skeleton-Guided Learning for Shortest Path Search
by: Liu, Tiantian, et al.
Published: (2025)

A method for the systematic generation of graph XAI benchmarks via Weisfeiler-Leman coloring
by: Fontanesi, Michele, et al.
Published: (2025)

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
by: Fatemi, Michael Y., et al.
Published: (2024)