Latest Research in Advanced Graph Neural Networks
38 research papers · 2026 median publication year
Top Research Topics in Advanced Graph Neural Networks
- Machine Learning — 27 papers
- Advanced Graph Neural Networks — 5 papers
- Machine Learning — 2 papers
- Statistics Theory — 1 papers
- Artificial Intelligence — 1 papers
- Discrete Mathematics — 1 papers
- Numerical Analysis — 1 papers
Highest-Cited Papers
- SCGFM-ART: Amortized Relational Transport for Structure-Centric Graph Foundation Models
- GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
- Structural Negative Transfer in Federated Graph Neural Networks: Diagnosis, Causal Investigation, and the Limits of Divergence-Aware Mitigation
- $\mathbb{SL}(n)$ Representation Learning: An Intrinsic Mixed-Curvature Space with Higher Curvature Capacities and Deeper Order-Aware Composition
- The impact of dimensionality on the stability of node embeddings
- Online Bayesian Node Classification on Inductive Graphs under Distribution Shift
- Multi-Source Wasserstein Distributionally Robust Graph Learning
- Consistency of augmentation graph and network approximability in contrastive learning
- Graphon-Level Bayesian Predictive Synthesis for Random Network
- When Connected Does Not Mean Similar: Charting the Homophily Boundary of SNAP-KG for Streaming Entity Integration
- Size Transferability of Graph Transformers with Convolutional Positional Encodings
- Towards Pure High-Order Aggregation: Rethinking Multi-Hop Neighborhood Learning in Graph Convolutional Networks
- CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion
- Topology-induced Operators Reveal Complementary Graph Representations without Training
- Towards Unified Multimodal Graph Foundation Model: A Bridge-Router-Adapter Based Approach
- Interpretable Network-assisted Random Forest+
- Het-node2vec: second-order random walk sampling for heterogeneous graph embedding
- Reservoir-Based Graph Convolutional Networks
- Dynamic Heterogeneous Graph Representation Learning: A Survey
- Global to Local: Topology-Preserving Adaptive Graph Pooling via Granular-Ball