downeykking / graph-papersLinks
Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
☆38Updated 2 years ago
Alternatives and similar repositories for graph-papers
Users that are interested in graph-papers are comparing it to the libraries listed below
Sorting:
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆75Updated last year
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- ☆121Updated 2 years ago
- ☆80Updated 11 months ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆140Updated 2 years ago
- ☆38Updated 3 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆64Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆180Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 11 months ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆24Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 7 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- KDD'22☆64Updated 3 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 11 months ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆31Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆46Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆39Updated 3 years ago
- ☆49Updated 2 years ago
- The source code of HeCo☆168Updated 3 years ago
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆23Updated 2 years ago
- ☆34Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆67Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆133Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆92Updated 5 months ago
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆50Updated last year