rctzeng / ICML19-EgoCNNLinks
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
☆20Updated 4 years ago
Alternatives and similar repositories for ICML19-EgoCNN
Users that are interested in ICML19-EgoCNN are comparing it to the libraries listed below
Sorting:
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)☆26Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Updated 6 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆212Updated 3 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 3 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 3 years ago
- A curated list of awesome graph representation learning.☆69Updated 5 years ago
- informal exposition of Weisfeiler-Leman similarity☆28Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- ☆35Updated 6 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Updated 4 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)☆133Updated 3 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated 2 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆79Updated 9 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆55Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).☆12Updated 7 years ago