Alternatives and similar repositories for L2G-neurips2021:

Users that are interested in L2G-neurips2021 are comparing it to the libraries listed below

• DeepGraphLearning / ContinuousGNN
  ☆46Updated 3 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆51Updated 4 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 3 years ago
• rollingstonezz / SGMP_code
  NeurIPS 2021 paper 'Representation Learning on Spatial Networks' code
  ☆18Updated 3 years ago
• chr26195 / PMLP
  This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…
  ☆87Updated 9 months ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆35Updated 2 years ago
• jma712 / HyperSCI
  ☆43Updated last year
• Hongrui24 / NeuralHawkesPytorch
  ☆21Updated 4 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 3 years ago
• abiodun-ayodeji / Structure-Learning-from-Time-series-Data-with-CausalNex
  Time series data structure learning with NOTEARS and DYNOTEARS
  ☆11Updated 10 months ago
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆76Updated 4 years ago
• guoji-fu / pGNNs
  [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
  ☆27Updated 2 years ago
• sigvae / SIGraphVAE
  ☆25Updated 5 years ago
• KarolisMart / DropGNN
  The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)
  ☆25Updated 2 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆66Updated 2 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated last year
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆101Updated 2 years ago
• yongduosui / CAL
  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…
  ☆86Updated last year
• abcbdf / ADC
  ☆25Updated last year
• RinneSz / GMAE
  Graph Masked Autoencoders
  ☆26Updated 2 years ago
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆53Updated 2 years ago
• YuGuangWang / UFG
  ☆35Updated 2 years ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆55Updated 2 years ago
• zhangzx-sjtu / LANTERN-NeurIPS-2019
  Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
  ☆10Updated 4 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆87Updated 3 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• ytchx1999 / PyG-OGB-Tricks
  Bags of Tricks in OGB (node classification) with GCNs.
  ☆37Updated 3 years ago
• hilbert9221 / NRI-MPM
  Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).
  ☆16Updated 3 years ago