xianggebenben / IVGD
☆10Updated last year
Alternatives and similar repositories for IVGD:
Users that are interested in IVGD are comparing it to the libraries listed below
- Graph Source Localization Library☆11Updated 4 months ago
- code and data for Continuous-Time Graph Learning for Cascade Popularity Prediction, IJCAI 2023☆12Updated last year
- Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction☆37Updated 2 years ago
- Papers about hypergraph, their applications, and even similar ideas.☆18Updated 3 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- ☆16Updated 6 months ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated 11 months ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated last year
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆21Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆59Updated 6 months ago
- ☆18Updated 2 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Updated last year
- ☆39Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆80Updated 5 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated 3 weeks ago
- ☆43Updated 8 months ago
- A list for GNNs and related works.☆91Updated 3 weeks ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated 11 months ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆22Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆16Updated last year
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆37Updated last year
- Dynamic Graph Benchmark☆77Updated 2 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated 2 weeks ago
- PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction☆7Updated 2 years ago
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆12Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆41Updated last year