claws-lab / INPACLinks
Code and data for the KDD 2023 paper "Predicting Information Pathways Across Online Communities."
☆23Updated 7 months ago
Alternatives and similar repositories for INPAC
Users that are interested in INPAC are comparing it to the libraries listed below
Sorting:
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated last year
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆34Updated 3 years ago
- ☆19Updated 3 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- ☆129Updated 4 months ago
- This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".☆27Updated 3 years ago
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆100Updated 2 years ago
- Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction☆40Updated 2 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆70Updated 2 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 3 years ago
- SI-HDGNN: Heterogeneous Dynamical Academic Network for Scientific Impact Propagation Learning☆21Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- ☆11Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆60Updated 2 years ago
- Dynamic Graph Benchmark☆82Updated 2 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆80Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆92Updated 9 months ago
- GLASS: GNN with Labeling Tricks for Subgraph Representation Learning☆31Updated 2 years ago
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Updated 2 years ago
- ☆10Updated 6 years ago
- A collection of research papers related to graph structure learning(GSL).☆16Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- ☆95Updated 2 years ago
- Code for the paper "ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings" -- TextGraphs-17 @ ACL 2024☆22Updated 11 months ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- ☆57Updated last year
- STHN: Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction [CIKM 2023]☆11Updated last year
- Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)☆130Updated 2 years ago
- ☆22Updated 2 years ago