IBM / TM-GCNLinks
Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
☆29Updated 4 years ago
Alternatives and similar repositories for TM-GCN
Users that are interested in TM-GCN are comparing it to the libraries listed below
Sorting:
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆63Updated 4 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆131Updated 2 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Updated 3 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- A TensorFlow implementation of GraphHeat☆16Updated 5 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆72Updated 4 years ago
- ☆46Updated 4 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆39Updated last year
- ☆50Updated 2 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆77Updated 4 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆49Updated 2 years ago
- How Powerful are Spectral Graph Neural Networks☆75Updated 2 years ago
- ☆97Updated last year
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Updated 3 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆162Updated 6 years ago
- ☆49Updated last year
- ☆104Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆64Updated 2 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Updated last year
- ☆24Updated last year
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆45Updated 5 years ago
- ☆42Updated 4 years ago
- ☆77Updated 4 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- Neural Dynamics on Complex Networks☆55Updated 5 years ago
- ☆26Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 weeks ago