diningphil / CGMMLinks
Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)
☆36Updated 3 years ago
Alternatives and similar repositories for CGMM
Users that are interested in CGMM are comparing it to the libraries listed below
Sorting:
- IPC: A Graph Data Set Compiled from International Planning Competitions☆47Updated 6 years ago
- ☆44Updated 5 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆124Updated 7 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- ☆21Updated 4 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 7 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆53Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated 2 years ago
- ☆35Updated 6 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆107Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆79Updated 9 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆91Updated 6 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- ☆54Updated 3 years ago
- Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)☆26Updated 6 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago