GitHubLuCheng / Causal-Understanding-of-Fake-News-DisseminationLinks
Implementation of KDD21 paper Causal Understanding of Fake News Dissemination on Social Media
☆23Updated 4 years ago
Alternatives and similar repositories for Causal-Understanding-of-Fake-News-Dissemination
Users that are interested in Causal-Understanding-of-Fake-News-Dissemination are comparing it to the libraries listed below
Sorting:
- ☆30Updated 5 years ago
- FANG: Leveraging Social Context for Fake News Detection Using Graph Representation☆74Updated 3 years ago
- CGAT: Channel-aware Graph Attention Networks☆20Updated 2 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 5 years ago
- ☆41Updated 2 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 4 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction☆28Updated 5 years ago
- An implementation of "Graph Structural-topic Neural Network"☆73Updated 5 years ago
- Papers on Hyperbolic embeddings and Hyperbolic Neural Network☆35Updated 5 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated last year
- ☆50Updated 2 years ago
- Source code of "Segmented GRAPH-BERT Model"☆24Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- ☆20Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 5 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 11 months ago
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆60Updated 4 years ago
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆29Updated 4 years ago
- Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.☆55Updated 4 years ago
- A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-I…☆33Updated 5 years ago
- ☆13Updated 4 years ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆77Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Meta-Learning for Few Shot Link Prediction☆50Updated 5 years ago
- Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs☆48Updated 4 years ago
- ☆13Updated 5 years ago