CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment | 0 | 0.34 | 2022 |
Toward Understanding and Evaluating Structural Node Embeddings | 2 | 0.36 | 2022 |
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs | 0 | 0.34 | 2020 |
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding | 1 | 0.35 | 2020 |
G-CREWE: Graph CompREssion With Embedding for Network Alignment | 2 | 0.39 | 2020 |
Smart Roles: Inferring Professional Roles in Email Networks | 2 | 0.35 | 2019 |
Distribution of Node Embeddings as Multiresolution Features for Graphs | 2 | 0.35 | 2019 |
REGAL: Representation Learning-based Graph Alignment. | 22 | 0.66 | 2018 |
HashAlign: Hash-Based Alignment of Multiple Graphs. | 1 | 0.36 | 2018 |
Fast Flow-based Random Walk with Restart in a Multi-query Setting. | 0 | 0.34 | 2018 |