Alternatives and similar repositories for INPAC

Users that are interested in INPAC are comparing it to the libraries listed below

• zwt233 / GAMLP
  ☆19Updated 3 years ago
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆54Updated 3 years ago
• blacksingular / GHRN
  [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…
  ☆39Updated 2 years ago
• celi52 / si-hdgnn
  SI-HDGNN: Heterogeneous Dynamical Academic Network for Scientific Impact Propagation Learning
  ☆21Updated last year
• BUPT-GAMMA / HeCo
  This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".
  ☆28Updated 3 years ago
• RManLuo / CP-GNN
  Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…
  ☆42Updated 4 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• AndyJZhao / GLEM
  ☆133Updated 10 months ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆65Updated 2 years ago
• snap-research / graphless-neural-networks
  [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)
  ☆95Updated last year
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆65Updated last year
• raihan2108 / deep-diffuse
  ☆10Updated 6 years ago
• slingling / MS-HGAT
  Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction
  ☆43Updated 2 years ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆88Updated 3 years ago
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆63Updated 3 years ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆104Updated 2 years ago
• jumxglhf / GraphPatcher
  Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
  ☆18Updated 2 years ago
• Wuyxin / DIR-GNN
  (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks
  ☆131Updated 2 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆71Updated 3 years ago
• AaltoPML / PINT
  ☆19Updated 3 years ago
• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆43Updated last year
• wxwmd / CLNode
  ☆12Updated 2 months ago
• BUPT-GAMMA / MetaDyGNN
  ☆21Updated 3 years ago
• snap-stanford / CAW
  ☆79Updated 3 years ago
• yangchengbupt / NeuralDiffusionModel
  ☆17Updated 7 years ago
• FudanCISL / FreeGEM
  The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.
  ☆16Updated 3 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆35Updated 3 years ago
• celi52 / STHN
  STHN: Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction [CIKM 2023]
  ☆11Updated 2 years ago
• rollingstonezz / Curriculum_learning_for_GNNs
  This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"
  ☆17Updated 2 years ago
• RingBDStack / GC-Bench
  An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)
  ☆20Updated last year