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DyDT: A Dual-Modality Disentangled Temporal Representation Learning Framework for Dynamic Graphs

https://doi.org/10.2139/ssrn.5534137
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot
Graph neural networks: A review of methods and applications
inferredcites →https://doi.org/10.1016/j.patcog.2019.107000openalex-snapshot
Dynamic graph convolutional networks
inferredcites →https://doi.org/10.1109/access.2024.3378111openalex-snapshot
Dynamic Graph Representation Learning With Neural Networks: A Survey
inferredcites →https://doi.org/10.1109/tcsvt.2019.2897984openalex-snapshot
DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time
inferredcites →https://doi.org/10.1109/tkde.2018.2807452openalex-snapshot
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
inferredcites →https://doi.org/10.1145/3292500.3330847openalex-snapshot
Predicting Path Failure In Time-Evolving Graphs
inferredcites →https://doi.org/10.1145/3292500.3330895openalex-snapshot
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
inferredcites →https://doi.org/10.1145/3336191.3371845openalex-snapshot
DySAT
inferredcites →https://doi.org/10.1145/3483595openalex-snapshot
A Survey on Embedding Dynamic Graphs
inferredcites →https://doi.org/10.1145/3485447.3511929openalex-snapshot
Exploring Edge Disentanglement for Node Classification
inferredcites →https://doi.org/10.1145/3633518openalex-snapshot
A Survey on Graph Representation Learning Methods
inferredcites →https://doi.org/10.14778/3583140.3583150openalex-snapshot
Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank
inferredcites →https://doi.org/10.1609/aaai.v34i04.5984openalex-snapshot
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.811openalex-snapshot
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer
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