Co-occurring keywords · papers mentioning both
Papers
Distributed Conformal Prediction via Message Passing
ICML 2025
Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation
AAAI 2025
Edge Prompt Tuning for Graph Neural Networks
ICLR 2025
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation
AAAI 2025
E(n) Equivariant Topological Neural Networks
ICLR 2025
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
ICLR 2025
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
ICML 2025
Expressive Power of Temporal Message Passing
AAAI 2025
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection
AAAI 2025
Graph Mediator Networks Bridging Local and Global Semantics via Serial Message Passing
ACML 2025
Graph Neural Networks Can (Often) Count Substructures
ICLR 2025
GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia
JMLR 2025
Graph World Model
ICML 2025
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
ICML 2025
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
ICML 2025
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting
AAAI 2025
Implicit vs Unfolded Graph Neural Networks
JMLR 2025
Improving Graph Contrastive Learning with Community Structure
UAI 2025
Improving Graph Neural Networks by Learning Continuous Edge Directions
ICLR 2025
Learning Efficient Positional Encodings with Graph Neural Networks
ICLR 2025
Learning local equivariant representations for quantum operators
ICLR 2025
Learning Long Range Dependencies on Graphs via Random Walks
ICLR 2025
Learning More Expressive General Policies for Classical Planning Domains
AAAI 2025
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
AAAI 2025
LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract)
AAAI 2025