simondelarue / dynGNNLinks
Representation and learning framework for dynamic graphs using Graph Neural Networks.
☆12Updated 3 years ago
Alternatives and similar repositories for dynGNN
Users that are interested in dynGNN are comparing it to the libraries listed below
Sorting:
- ☆11Updated 2 years ago
- ☆18Updated last year
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- ☆12Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated 2 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- ☆24Updated last year
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 5 years ago
- Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…☆17Updated 2 years ago
- ☆14Updated 4 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆46Updated last year
- ☆21Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Neural Dynamics on Complex Networks☆54Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆32Updated 11 months ago
- Code for the paper "Higher-order motif analysis in hypergraphs"☆32Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- ☆20Updated 4 years ago
- ☆28Updated 4 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆26Updated 3 years ago
- ☆31Updated last year
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 3 years ago
- WWW22 - MiDaS: Representative Hypergraph Sampling☆12Updated last year
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago