IBM / TM-GCNLinks
Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
☆28Updated 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:
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆16Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆73Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆37Updated last year
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆69Updated 4 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆48Updated last year
- Graph Structured Neural Network☆40Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆62Updated last year
- ☆101Updated last year
- Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)☆128Updated 2 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Updated 2 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Updated last year
- ☆77Updated 4 years ago
- A TensorFlow implementation of GraphHeat☆16Updated 5 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆136Updated 2 years ago
- ☆47Updated 3 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
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆92Updated last year
- ☆39Updated 3 years ago
- ☆24Updated 3 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆44Updated last month
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- Code for "HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding".☆14Updated 3 years ago
- ☆46Updated last year
- ☆24Updated last year
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- ☆97Updated 4 years ago