- Edge Directionality Improves Learning on Heterophilic Graphs
- On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
- Will More Expressive Graph Neural Networks do Better on Generative Tasks?
- Cycle Invariant Positional Encoding for Graph Representation Learning
- GwAC: GNNs with Asynchronous Communication
- Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
- Mitigating Over-smoothing and Over-squashing using Augmentations of Forman-Ricci Curvature
- Rethinking Higher-order Representation Learning with Graph Neural Networks
- HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
- Generative modeling of labeled graphs under data scarcity
- A Simple Latent Variable Model for Graph Learning and Inference
- A Latent Diffusion Model for Protein Structure Generation
- MUDiff: Unified Diffusion for Complete Molecule Generation
- Latent Space Representations of Neural Algorithmic Reasoners
- Recursive Algorithmic Reasoning
- Neural Algorithmic Reasoning for Combinatorial Optimisation
- Parallel Algorithms Align with Neural Execution
- Asynchronous Algorithmic Alignment with Cocycles
- Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings
- Meta-Path Learning for Multi-relational Graph Neural Networks
- Transferable Hypergraph Neural Networks via Spectral Similarity
- HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers
- United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification under Graph Label Corruption
- EMP: Effective Multidimensional Persistence for Graph Representation Learning
- BeMap: Balanced Message Passing for Fair Graph Neural Network
- Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity
- SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics
- Inferring dynamic regulatory interaction graphs from time series data with perturbations
- Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
- GSCAN: Graph Stability Clustering for Applications with Noise using Edge-Aware Excess-of-Mass
- PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
- Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks