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:
- ☆119Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆150Updated 7 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 10 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
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆179Updated last year
- ☆80Updated 11 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- KDD'22☆64Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆133Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆64Updated 2 years ago
- ☆34Updated 2 years ago
- ☆49Updated 2 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆23Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 6 months ago
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆219Updated 3 weeks ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆28Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆43Updated 9 months ago
- ☆38Updated 3 years ago
- Data repository for PyGOD☆43Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 10 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Updated 11 months ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago