vasile-paskardlgm Goto Github PK

adagnn-graph-neural-networks-with-adaptive-frequency-response-filter

Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.

bernnet

PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

deep-gaussian-processes-with-doubly-stochastic-variational-inference

Deep Gaussian Processes with Doubly Stochastic Variational Inference

distance-encoding

Distance Encoding for GNN Design

esan

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

flode

ggp

Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'

gsn

Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252

libmtl

A PyTorch Library for Multi-Task Learning

matern-gaussian-processes-on-graphs

Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

mixhop

Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

peg

[ICLR-2022]: Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

pgnns

p-Laplacian Based Graph Neural Networks (ICML'2022)

pyamg

Algebraic Multigrid Solvers in Python

seal

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

stochastic-deep-gaussian-processes-over-graphs

Codes for paper "Stochastic Deep Gaussian Processes over Graphs"

vasile-paskardlgm.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes