The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
☆46Nov 18, 2020Updated 5 years ago
Alternatives and similar repositories for GIL
Users that are interested in GIL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆19Jul 5, 2024Updated 2 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Jul 30, 2020Updated 6 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27May 21, 2022Updated 4 years ago
- Hyperbolic Graph Neural Networks☆251Oct 26, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- HGCAE Pytorch implementation. CVPR2021 accepted.☆45Jun 29, 2023Updated 3 years ago
- ☆18Oct 22, 2020Updated 5 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆670Jul 25, 2024Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- ☆13Sep 8, 2021Updated 4 years ago
- This repository contains implementation of DHNE : Network Representation Learning Method for Dynamic Heterogeneous Network.☆10May 11, 2019Updated 7 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Nov 29, 2021Updated 4 years ago
- ☆15Aug 7, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆41Oct 13, 2022Updated 3 years ago
- ☆13Feb 16, 2021Updated 5 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 4 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆139Nov 29, 2022Updated 3 years ago
- Correlation-aware Change-point Detection via Graph Neural Networks☆16Sep 28, 2020Updated 5 years ago
- [ICLR'26] Flock: A Knowledge Graph Foundation Model via Learning on Random Walks, in PyTorch☆17Jun 8, 2026Updated 2 months ago
- Implementation of Paper "Deep Active Learning for Anchor User Prediction"☆11Mar 10, 2020Updated 6 years ago
- This paper is accpeted by WSDM 2023☆13Mar 13, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official repository of "On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs", CIKM 2022☆19Aug 23, 2022Updated 4 years ago
- Fine-grained attention in hierarchical transformers for tabular time-series.☆12Dec 24, 2024Updated last year
- [ICCV 2025] Official implementation of "Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlea…☆23Jan 2, 2026Updated 8 months ago
- Papers and Codes for the deep learning in hyperbolic space☆191Aug 11, 2022Updated 4 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Aug 4, 2023Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 5 years ago
- ☆12Jan 31, 2024Updated 2 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 5 years ago
- KDD 2024 | FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction☆18Sep 4, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Hyperbolic PCA via Horospherical Projections☆80Jun 28, 2023Updated 3 years ago
- Source code for WWW 2021 paper "Lorentzian Graph Convolutional Networks"☆14Jun 11, 2021Updated 5 years ago
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆13May 28, 2019Updated 7 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆23Dec 18, 2023Updated 2 years ago
- CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks (ICLR 2021)☆14Dec 5, 2022Updated 3 years ago
- Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications☆613Aug 6, 2026Updated last month
- ☆16Sep 9, 2021Updated 4 years ago