Running PDEs on graph
☆29Oct 17, 2022Updated 3 years ago
Alternatives and similar repositories for Pytorch_pdegraph
Users that are interested in Pytorch_pdegraph are comparing it to the libraries listed below
Sorting:
- Signal processing on graphs using torch_geometric.☆14Jul 11, 2022Updated 3 years ago
- ☆13Mar 8, 2024Updated last year
- Interpretable Models for NLP using PyTorch☆18Jan 22, 2018Updated 8 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Jun 16, 2022Updated 3 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Jul 11, 2022Updated 3 years ago
- Source code for AAAI 2019 paper "Hyperbolic Heterogeneous Information Network Embedding"☆25Sep 24, 2021Updated 4 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- Fast computation of a gaussian and its derivative on a grid.☆31Sep 26, 2025Updated 5 months ago
- Tools for training pytorch language models☆27Nov 14, 2020Updated 5 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆24Jun 11, 2019Updated 6 years ago
- ☆11Oct 15, 2025Updated 4 months ago
- ☆16Nov 2, 2025Updated 3 months ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- Official Repo for the NeurIPS2024 spotlight paper "Are Graph Neural Networks Optimal Approximation Algorithms?"☆14May 22, 2024Updated last year
- Code for Arxiv 2018 Paper "HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding"☆32May 19, 2019Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Nov 30, 2021Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Jul 25, 2021Updated 4 years ago
- NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching☆32May 10, 2019Updated 6 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆35Mar 3, 2021Updated 4 years ago
- ☆35Jan 29, 2021Updated 5 years ago
- ☆41Aug 22, 2018Updated 7 years ago
- ☆12May 26, 2022Updated 3 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Dec 27, 2021Updated 4 years ago
- How to start with Jupyter, Python, Libs, Github and Models☆13May 18, 2022Updated 3 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 3 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- The code of APP, Scalable Graph Embedding for Asymmetric Proximity. Zhou, Chang and Liu, Yuqiong and Liu, Xiaofei and Liu, Zhongyi and Ga…☆10Nov 11, 2018Updated 7 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆43Mar 24, 2023Updated 2 years ago
- [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks☆36Jun 3, 2023Updated 2 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆42Mar 18, 2023Updated 2 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆42Jun 10, 2021Updated 4 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Apr 22, 2024Updated last year
- 🍉 Oh, my resume!☆12Apr 12, 2023Updated 2 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Oct 24, 2017Updated 8 years ago
- CNN Image Retrieval Model Weights Ported☆12Jun 2, 2018Updated 7 years ago
- ☆10Nov 17, 2020Updated 5 years ago
- Few-shot Classification with LS-SVM Base Learner and Transductive Modules☆11Jan 22, 2021Updated 5 years ago