v1v2v3v4v5v6 (latest)

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs

22 February 2022

ArXiv (abs)PDF HTML Github (140★)

Papers citing "PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs"

13 / 13 papers shown

Intransitive Player Dominance and Market Inefficiency in Tennis Forecasting: A Graph Neural Network Approach

Lawrence Clegg

John Cartlidge

23 Oct 2025

Adaptive Riemannian Graph Neural Networks

168

04 Aug 2025

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach

262

02 May 2025

Understanding the Design Principles of Link Prediction in Directed SettingsThe Web Conference (WWW), 2025

228

24 Feb 2025

Subsampling Graphs with GNN Performance Guarantees

266

23 Feb 2025

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based ApproachThe Web Conference (WWW), 2025

342

21 Jan 2025

Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction

305

14 Dec 2024

A Benchmark on Directed Graph Representation Learning in Hardware Designs

Haoyu Wang

Yinan Huang

Nan Wu

Pan Li

OOD

336

09 Oct 2024

Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance

200

22 Jul 2024

Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNsAAAI Conference on Artificial Intelligence (AAAI), 2023

220

28 Dec 2023

The Map Equation Goes Neural: Mapping Network Flows with Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023

Christopher Blöcker

Chester Tan

Ingo Scholtes

447

02 Oct 2023

Edge Directionality Improves Learning on Heterophilic GraphsLOG IN (LOG IN), 2023

Emanuele Rossi

Bertrand Charpentier

Francesco Di Giovanni

Fabrizio Frasca

Stephan Günnemann

Michael M. Bronstein

330

106

17 May 2023

Multi-Head Graph Convolutional Network for Structural Connectome Classification

262

02 May 2023