Co-occurring keywords · papers mentioning both
Papers
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
AAAI 2024
Relational Concept Bottleneck Models
NeurIPS 2024
Rethinking the Capacity of Graph Neural Networks for Branching Strategy
NeurIPS 2024
Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
ICLR 2024
Self-Supervised Relation Alignment for Scene Graph Generation
WACV 2024
SeMoLi: What Moves Together Belongs Together
CVPR 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
NeurIPS 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
ICML 2024
Simplicial Representation Learning with Neural k-Forms
ICLR 2024
Spatio-Spectral Graph Neural Networks
NeurIPS 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
NeurIPS 2024
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
ICLR 2024
Structured Optimal Variational Inference for Dynamic Latent Space Models
JMLR 2024
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
ICML 2024
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis
AAAI 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
NeurIPS 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
JMLR 2024
Towards Dynamic Message Passing on Graphs
NeurIPS 2024
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
AAAI 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
ICLR 2024
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
NeurIPS 2024
Union Subgraph Neural Networks
AAAI 2024
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
AAAI 2024
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
AAAI 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
NeurIPS 2024