priyeshv Goto Github PK

dci

TensorFlow Implementation of the paper Deep Collective Inference - AAAI'17

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

dl_assignments

Deep Learning Course Assignments

dynamicgem

fusiongcns

Fusion GCNs

gae

Implementation of Graph Auto-Encoders in TensorFlow

gap_kernels_dfs

Gated Attentive Propagation Kernels with DFS walks

gbdt-cc

Gradient Boosted Decision Trees for Collective Classification

gnnpapers

Must-read papers on graph neural networks (GNN)

graphite

Code for Graphite iterative graph generation

graphlm

Graph Language Model with RNNs to learn node embeddings

hands-on-reinforcement-learning-with-pytorch

Hands-on Reinforcement Learning with PyTorch, published by [Packt]

hopf

HOPF: Higher Order Propagation Framework and Fusion Graph Convolutional Networks

icas

Different Iterative Collective Classifiers - Multi-label | Multi-Relational | Ordered labeling

incrementalkg

minisynth

program synthesis is possible

mvmrml

Multi-label collective classification in multi-attribute multi-relational network data

nrl_benchmark

Network Representation learning Benchmarks

priyeshv.github.io

Website of Priyesh Vijayan

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

s-lstm

Code for the paper: Sentence-State LSTM for Text Representation