PriyeshV

HOPF

HOPF: Higher Order Propagation Framework and Fusion Graph Convolutional Networks

NRL_Benchmark

Network Representation learning Benchmarks

FusionGCNs

Fusion GCNs

DCI

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

GBDT-CC

Gradient Boosted Decision Trees for Collective Classification

GNNPapers

Must-read papers on graph neural networks (GNN)

GraphLM

Graph Language Model with RNNs to learn node embeddings

MVMRML

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

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

IncrementalKG

DynamicGEM

gae

Implementation of Graph Auto-Encoders in TensorFlow

GAP_Kernels_DFS

Gated Attentive Propagation Kernels with DFS walks

graphite

Code for Graphite iterative graph generation

Hands-on-Reinforcement-Learning-with-PyTorch

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

ICAs

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

minisynth

program synthesis is possible

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