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08/06/2023
Communication-Free Distributed GNN Training with Vertex Cut
Training Graph Neural Networks (GNNs) on real-world graphs consisting of...
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08/04/2023
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs
Graph Neural Networks (GNNs) conduct message passing which aggregates lo...
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07/27/2023
Med-Flamingo: a Multimodal Medical Few-shot Learner
Medicine, by its nature, is a multifaceted domain that requires the synt...
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07/03/2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
We present the Temporal Graph Benchmark (TGB), a collection of challengi...
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06/07/2023
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph
Machine learning models exhibit strong performance on datasets with abun...
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05/23/2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Graph Neural Networks (GNNs) are powerful machine learning prediction mo...
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05/21/2023
PRODIGY: Enabling In-context Learning Over Graphs
In-context learning is the ability of a pretrained model to adapt to nov...
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05/02/2023
Geometric Latent Diffusion Models for 3D Molecule Generation
Generative models, especially diffusion models (DMs), have achieved prom...
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05/01/2023
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Simulating the time evolution of physical systems is pivotal in many sci...
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04/25/2023
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability
Homophily principle, i.e. nodes with the same labels are more likely to ...
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03/26/2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Complex logical query answering (CLQA) is a recently emerged task of gra...
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03/14/2023
AutoTransfer: AutoML with Knowledge Transfer – An Application to Graph Neural Networks
AutoML has demonstrated remarkable success in finding an effective neura...
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03/14/2023
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
A key assumption in multi-task learning is that at the inference time th...
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02/04/2023
Harnessing Simulation for Molecular Embeddings
While deep learning has unlocked advances in computational biology once ...
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01/28/2023
Zero-shot causal learning
Predicting how different interventions will causally affect a specific i...
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12/12/2022
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks
Many policies in the US are determined locally, e.g., at the county-leve...
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12/07/2022
Learning Graph Search Heuristics
Searching for a path between two nodes in a graph is one of the most wel...
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11/22/2022
Retrieval-Augmented Multimodal Language Modeling
Recent multimodal models such as DALL-E and CM3 have achieved remarkable...
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10/31/2022
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Mapping biological mechanisms in cellular systems is a fundamental step ...
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10/26/2022
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks
Despite many advances in Graph Neural Networks (GNNs), their training st...
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10/21/2022
Efficient Automatic Machine Learning via Design Graphs
Despite the success of automated machine learning (AutoML), which aims t...
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10/17/2022
Deep Bidirectional Language-Knowledge Graph Pretraining
Pretraining a language model (LM) on text has been shown to help various...
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10/13/2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Few-shot knowledge graph (KG) completion task aims to perform inductive ...
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08/15/2022
ROLAND: Graph Learning Framework for Dynamic Graphs
Graph Neural Networks (GNNs) have been successfully applied to many real...
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07/04/2022
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy
Visual relations form the basis of understanding our compositional world...
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06/30/2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
Humans have the remarkable ability to recognize and acquire novel visual...
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06/15/2022
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
Simulating the time evolution of Partial Differential Equations (PDEs) o...
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06/15/2022
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
Subsurface simulations use computational models to predict the flow of f...
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06/07/2022
Learning Backward Compatible Embeddings
Embeddings, low-dimensional vector representation of objects, are fundam...
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05/24/2022
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
Learned embeddings for products are an important building block for web-...
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05/23/2022
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering
Visual understanding requires seamless integration between recognition a...
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05/21/2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Graph Convolutional Networks (GCN) can efficiently integrate graph struc...
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05/09/2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest
Sequential models have become increasingly popular in powering personali...
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03/30/2022
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective
One of the most important factors that contribute to the success of a ma...
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03/29/2022
LinkBERT: Pretraining Language Models with Document Links
Language model (LM) pretraining can learn various knowledge from text co...
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01/21/2022
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Answering complex questions about textual narratives requires reasoning ...
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12/09/2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Machine learning systems deployed in the wild are often trained on a sou...
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10/28/2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Hierarchical relations are prevalent and indispensable for organizing hu...
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10/28/2021
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Knowledge graphs (KGs) capture knowledge in the form of head–relation–ta...
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09/20/2021
Neural Distance Embeddings for Biological Sequences
The development of data-dependent heuristics and representations for bio...
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09/14/2021
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
Training a model for grammatical error correction (GEC) requires a set o...
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07/12/2021
Combiner: Full Attention Transformer with Sparse Computation Cost
Transformers provide a class of expressive architectures that are extrem...
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06/10/2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
We present GNNAutoScale (GAS), a framework for scaling arbitrary message...
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04/13/2021
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
The problem of answering questions using knowledge from pre-trained lang...
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03/21/2021
Language-Agnostic Representation Learning of Source Code from Structure and Context
Source code (Context) and its parsed abstract syntax tree (AST; Structur...
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03/17/2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Enabling effective and efficient machine learning (ML) over large-scale ...
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03/02/2021
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
With massive amounts of atomic simulation data available, there is a hug...
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02/14/2021
Model-Agnostic Graph Regularization for Few-Shot Learning
In many domains, relationships between categories are encoded in the kno...
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02/10/2021
Driver2vec: Driver Identification from Automotive Data
With increasing focus on privacy protection, alternative methods to iden...
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02/06/2021