Graph-COM
Graph-COM
GSAT
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
GraphMaker
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
LRI
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
GAD-NR
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
ED-HNN
[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
SUREL
[VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
SUREL_Plus
[VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.