ZijieH / LG-ODELinks
☆33Updated 3 years ago
Alternatives and similar repositories for LG-ODE
Users that are interested in LG-ODE are comparing it to the libraries listed below
Sorting:
- ☆36Updated 4 years ago
- ☆47Updated 4 years ago
- Neural Dynamics on Complex Networks☆55Updated 5 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 5 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆116Updated 4 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆137Updated 3 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆27Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆233Updated 2 years ago
- ☆139Updated 2 years ago
- ☆104Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆105Updated 5 months ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆101Updated 4 years ago
- Paper lists for Temporal Point Process☆119Updated 5 months ago
- Dynamic Graph Benchmark☆87Updated 2 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆58Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆89Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆105Updated last year
- ☆26Updated 2 years ago
- ☆57Updated 4 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆74Updated 2 years ago
- NeurIPS 2021 paper 'Representation Learning on Spatial Networks' code☆18Updated 4 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆25Updated 3 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago