huangjunjie-cs / SBGNN
source code for signed bipartite graph neural networks(CIKM 2021)
☆19Updated 3 years ago
Alternatives and similar repositories for SBGNN:
Users that are interested in SBGNN are comparing it to the libraries listed below
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆54Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 3 years ago
- ☆25Updated 2 years ago
- ☆107Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆61Updated 2 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 2 years ago
- The source code of HeCo☆161Updated 2 years ago
- ☆77Updated 2 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆19Updated 3 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 4 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆28Updated 3 years ago
- Balance in Signed Bipartite Networks (CIKM 2019)☆9Updated 4 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"☆46Updated 4 years ago
- HDGI code☆61Updated 5 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated 2 years ago
- The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".☆14Updated last year
- Datasets-for-Heterogeneous-Graph☆127Updated 5 years ago
- Learning Signed Network Embedding via Graph Attention, aaai2020☆21Updated 4 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆66Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆57Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago
- ☆10Updated last year
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)☆45Updated 6 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- Code for paper https://arxiv.org/abs/2102.13186☆44Updated 3 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆75Updated 3 years ago