List of Publications in Graph Contrastive Learning
☆34May 5, 2022Updated 3 years ago
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- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆621Jul 17, 2024Updated last year
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 4 years ago
- ☆15Nov 3, 2022Updated 3 years ago
- informal exposition of Weisfeiler-Leman similarity☆28Apr 30, 2021Updated 4 years ago
- Implementation of the paper "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?"☆23May 12, 2024Updated last year
- Collection of resources related with Graph Contrastive Learning.☆34Feb 2, 2021Updated 5 years ago
- Feature Aware Normalization - Code for "Context-based Normalization of Histological Stains using Deep Convolutional Features"☆15Nov 11, 2018Updated 7 years ago
- Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"☆17Mar 20, 2019Updated 6 years ago
- A collection of graph contrastive learning methods.☆18Apr 1, 2022Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Sep 9, 2024Updated last year
- ☆22Mar 10, 2021Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆344Apr 25, 2024Updated last year
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Dec 6, 2018Updated 7 years ago
- These are excerpts from various blog posts related to AI & ML that deal with important research and business cases.☆21Feb 17, 2023Updated 3 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Feb 17, 2026Updated last week
- Vectorization of persistence diagrams and approximate Wasserstein distance☆28Feb 25, 2020Updated 6 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Apr 27, 2020Updated 5 years ago
- Source code of "Segmented GRAPH-BERT Model"☆24Sep 16, 2020Updated 5 years ago
- The multi-tab website fingerprinting attack library contains real-world multi-tab Tor traffic and code for multi-tab website fingerprinti…☆29Jan 26, 2025Updated last year
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- DeVLBert: Learning Deconfounded Visio-Linguistic Representations☆27Nov 27, 2022Updated 3 years ago
- SPPNet: An Appoach For Real-Time Encrypted Traffic Classification Using Deep Learning☆10Aug 6, 2024Updated last year
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- 安卓远控，天线6.0 无限使用版☆11Sep 9, 2023Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Oct 11, 2022Updated 3 years ago
- ☆26Jan 7, 2020Updated 6 years ago
- ☆30Nov 3, 2020Updated 5 years ago
- A curated list for awesome self-supervised learning for graphs.☆389Oct 25, 2022Updated 3 years ago
- The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"☆34Dec 1, 2022Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆194Apr 24, 2024Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆83Dec 10, 2021Updated 4 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
- Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.☆36Aug 20, 2020Updated 5 years ago
- ☆26Dec 22, 2018Updated 7 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆39Jun 21, 2022Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆81Dec 7, 2021Updated 4 years ago
- Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis☆34Jan 10, 2020Updated 6 years ago
- Pytorch Implementation of Lightweight and robust representation of economic scales from satellite imagery.☆13Nov 21, 2019Updated 6 years ago