MrYansong / CasSeqGCNLinks
CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades
☆16Updated 4 years ago
Alternatives and similar repositories for CasSeqGCN
Users that are interested in CasSeqGCN are comparing it to the libraries listed below
Sorting:
- Information Diffusion Prediction via Recurrent Cascades Convolution☆56Updated 4 years ago
- ☆26Updated 5 years ago
- ☆35Updated last year
- A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characterist…☆10Updated 3 years ago
- TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.☆36Updated last year
- DeepHawkes: Popularity Prediction of Information Cascades☆95Updated 8 years ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆22Updated last year
- ☆80Updated last year
- DyHATR (ECML-PKDD 2020)☆44Updated 5 years ago
- CoupledGNN: Popularity prediction with Coupled Graph Neural Networks☆53Updated 3 years ago
- Paper List of Information Diffusion Prediction☆63Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆113Updated 2 years ago
- source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"☆49Updated 5 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆96Updated 3 years ago
- Code for the paper "Balancing Consistency and Disparity in Network Alignment"☆10Updated 3 years ago
- ☆123Updated 2 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆59Updated last year
- Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction☆43Updated 2 years ago
- The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"☆15Updated 3 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆115Updated 4 years ago
- KDD'22☆64Updated 3 years ago
- Rewirte for python 3.6 edition.☆11Updated 5 years ago
- Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation☆39Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- ☆17Updated 4 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆141Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆33Updated 4 years ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆106Updated last year
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆66Updated 2 years ago
- The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…☆20Updated 3 years ago