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Projects in Awesome Lists by snap-stanford
A curated list of projects in awesome lists by snap-stanford .
https://github.com/snap-stanford/snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Last synced: 31 Jul 2024
https://github.com/snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
datasets deep-learning graph-machine-learning graph-neural-networks
Last synced: 01 Aug 2024
https://github.com/snap-stanford/graphgym
Platform for designing and evaluating Graph Neural Networks (GNN)
Last synced: 01 Aug 2024
https://github.com/snap-stanford/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
Last synced: 01 Aug 2024
https://github.com/snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
graph-neural-networks graph-representation-learning
Last synced: 02 Aug 2024
https://github.com/snap-stanford/deepsnap
Python library assists deep learning on graphs
deep-learning graph-neural-networks pytorch
Last synced: 02 Aug 2024
https://github.com/snap-stanford/KGReasoning
Multi-Hop Logical Reasoning in Knowledge Graphs
embedding knowledge-base knowledge-graph reasoning
Last synced: 01 Aug 2024
https://github.com/snap-stanford/GreaseLM
[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
biomedical-ques commonsense-reasoning graph-neural-networks knowledge-graph language-model question-answering
Last synced: 02 Aug 2024
https://github.com/snap-stanford/distance-encoding
Distance Encoding for GNN Design
Last synced: 08 Aug 2024
https://github.com/snap-stanford/gib
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
graph-neural-networks information-bottleneck node-classification representation-learning robustness
Last synced: 08 Aug 2024
https://github.com/snap-stanford/comet
[ICLR 2021] Concept Learners for Few-Shot Learning
Last synced: 03 Aug 2024
https://github.com/snap-stanford/orca
[ICLR 2022] Open-World Semi-Supervised Learning
Last synced: 03 Aug 2024
https://github.com/snap-stanford/crust
[NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
Last synced: 03 Aug 2024