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
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)☆26Updated 6 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- A curated list of awesome graph representation learning.☆69Updated 4 years ago
- Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification☆18Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆211Updated 2 years ago
- Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".☆24Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).☆12Updated 7 years ago
- Implementation of Deep Soft-K means☆29Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.☆15Updated 2 years ago
- ☆35Updated 6 years ago
- This repository summarises the open source codes of our group☆27Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 2 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆29Updated 2 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆111Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 4 years ago
- An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)☆133Updated 2 years ago