Artifical Intelligence Reading Group | Security Artificial Intelligence Networks

Semi-Supervised Classification with Graph Convolutional Networks

Sep 11, 2019 12:00 PM — 1:30 PM Campus Corners 3208 Discussion Lead : Amirali Abari

Wide & deep learning for recommender systems

Sep 18, 2019 12:00 PM — 1:30 AM Campus Corners 3208 Discussion Lead : Bahare Askari

Collaborative deep learning for recommender systems

Sep 25, 2019 12:00 PM — 1:30 AM ERC 3023 Discussion Lead : Sarina Sajadi

Learning Entity and Relation Embeddings for Knowledge Graph Completion

Oct 2, 2019 12:00 PM — 1:30 AM ERC 3023 Discussion Lead : Zachary Parish

Deep neural networks for youtube recommendations

Oct 9, 2019 12:00 PM — 1:30 AM Campus Corners 3208 Discussion Lead : Nadia Maarfavi

Deep reinforcement learning that matters

Oct 16, 2019 12:00 PM — 1:30 AM SIRC 1303 Discussion Lead : Davood Zamanfarsa

Explainable Recommendation A Survey and New Perspectives

Oct 23, 2019 12:00 PM — 1:30 AM ERC 3023 Discussion Lead : Aryan Asadian

Scaling short-answer grading by combining peer assessment with algorithmic scoring

Oct 30, 2019 12:00 PM — 1:30 AM ERC 3023 Discussion Lead : Alireza Naman

Item2vec neural item embedding for collaborative filtering

Nov 6, 2019 12:00 PM — 1:30 AM ERC 3023 Discussion Lead : Bahare Askari

Collaborative knowledge base embedding for recommender systems

Nov 13, 2019 12:00 PM — 1:30 AM ERC 3023 Discussion Lead : Sarina Sajadi

Adapted Deep Embeddings A Synthesis of Methods fork-Shot Inductive Transfer Learning

Nov 20, 2019 12:00 PM — 1:30 AM Campus Corners 3208 Discussion Lead : Zachary Parish

TrustSVD collaborative filtering with both the explicit and implicit influence of user trust and of item ratings

Nov 27, 2019 12:00 PM — 1:30 AM ERC 3023 Discussion Lead : Nadia Maarfavi

Deep Learning Based Recommender System A Survey and New Perspectives

Dec 4, 2019 12:00 PM — 1:30 AM Campus Corners 3208 Discussion Lead : Davood Zamanfarsa

TBD

Dec 11, 2019 12:00 PM — 1:30 AM Campus Corners 3208 Discussion Lead : Aryan Asadian

Inductive Representation Learning on Large Graph

Jan 15, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Amirali-Salehi Abari

MTNet: a neural approach for cross-domain recommendation with unstructured text

Jan 22, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Bahare Askari

Deep Sets

Jan 29, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Zach Parish

E-commerce in your inbox: Product recommendations at scale

Feb 5, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Nadia Maarfavi

Simultaneous deep transfer across domains and tasks

Feb 19, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Aryan Asadian

The PeerRank Method for Peer Assessment

Feb 26, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Ali Naman

Deep Learning Based Recommender System: A Survey and New Perspectives

Mar 4, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Bahare Askari

Meta-prod2vec: Product embeddings using side-information for recommendation

Mar 11, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Bahare Askari

Deep learning with sets and point clouds

Mar 25, 2020 1:15 PM — 2:15 PM SIRC 3130 Discussion Lead : Zach Parish

SSPA: an effective semi-supervised peer assessment method for large scale MOOCs

Apr 1, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Ali Naman

Net2Net: Accelerating Learning via Knowledge Transfer

Apr 8, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Aryan Asadian

FitNets: Hints for thin deep nets

Apr 15, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Aryan Asadian

Large-scale Visual Sentiment Ontologyand Detectors Using Adjective Noun Pairs

Apr 22, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Nadia Maarfavi

Recurrent Neural Networksfor Emotion Recognition in Video

Apr 29, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Nadia Maarfavi

Neural Networks Are More Productive Teachers Than Human Raters- Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model

May 13, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Aryan Asadian

Collaborative Variational Autoencoder for Recommender Systems

May 20, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Bahare Askari

Deeper Attention to Abusive User Content Moderation

May 27, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Zach Parish

CrowdGrader: Crowdsourcing the Evaluation of Homework Assignments

Jun 3, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Ali Naman

Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

Jun 10, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Nadia Maarfavi

Leveraging Multiple Implicit Feedback for Personalized Recommendation with Neural Network

Jun 17, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Sarina Sajadi

Subclass Distillation

Jun 24, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Aryan Asadian

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback

Jul 8, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Bahare Askari

Deep Generative Ranking for Personalized Recommendation

Jul 15, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Sarina Sajadi

EmoNets: Multimodal deep learning approaches for emotion recognition in video

Jul 22, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Nadia Maarfavi

Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Jul 29, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Aryan Asadian

Tuned Models of Peer Assessment in MOOCs

Aug 5, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Ali Naman

Representation Learning with Pair-wise Constraints for Collaborative Ranking

Aug 12, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Bahare Askari

Leveraging Social Connections to Improve Peer Assessment in MOOCs

Aug 19, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Ali Naman

Attention Is All You Need

Aug 26, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Zach Parish

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Sep 2, 2020 1:00 PM — 1:45 PM Google Meet Discussion Lead : Noah Fijan

Graph Attention Networks

Sep 9, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Amirali Abari

ResKD: Residual-Guided Knowledge Distillation

Sep 16, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Aryan Asadian

Strategyproof Peer Selection

Sep 23, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Ali Naman

Collaborative Filtering for Implicit Feedback Datasets

Sep 30, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Sarina Sajadi

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Oct 14, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Zach Parish

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Oct 21, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Zach Parish

Graph Structure of Neural Networks

Oct 28, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Amirali Abari

Multi-view Contrastive Learning for Online Knowledge Distillation

Nov 4, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Aryan Asadian

Probabilistic graphical models - peer grading in MOOCs.

Nov 11, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Ali Naman

Big Bird: Transformers for Longer Sequences

Nov 18, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Zachary Parish

How Powerful Are Graph Neural Networks?

Nov 25, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Amirali Abari

PassGAN: A Deep Learning Approach for Password Guessing

Dec 2, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Paul Louis

Neural Collaborative Filtering

Dec 9, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Farzana Khan

Attentive Group Recommendation

Dec 16, 2020 3:30 PM — 4:45 PM Google Meet Discussion Lead : Shweta Ann Jacob

Are we really making much progress? A worrying analysis of recent neural recommendation approaches

Feb 3, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Zach Parish

Node2vec: Scalable Feature Learning for Networks

Feb 17, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Ali Naman

Graph Neural Networks for Social Recommendation

Mar 3, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Shweta Ann Jacob

How Powerful are Graph Neural Networks?

Mar 17, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Amirali Salehi-Abari

Task-Oriented Feature Distillation

Mar 31, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Aryan Asadian

Knowledge Transfer via Dense Cross-Layer Mutual-Distillation

Apr 7, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Aryan Asadian

Beyond Credential Stuffing: Password Similarity Models using Neural Networks

Apr 14, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Paul Louis

Progressive Network Grafting for Few-Shot Knowledge Distillation

Apr 21, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Aryan Asadian

Contrastive Representation Distillation

Apr 28, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Aryan Asadian

Multi-head Knowledge Distillation for Model Compression

May 5, 2021 11:30 AM — 12:30 PM SIRC 3130 Discussion Lead : Aryan Asadian

DeepWalk: Online Learning of Social Representations

Oct 1, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Paul Louis

DeepInf: Social Influence Prediction with Deep Learning

Oct 15, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Farzana Khan

Friend Recommendation Based on Multi-Social Graph Convolutional Network

Oct 22, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Shweta Ann Jacob

Inductive Representation Learning on Large Graphs

Oct 29, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Paul Louis

Design Space for Graph Neural Networks

Nov 5, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Rui David

Position-aware Graph Neural Networks

Nov 12, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Shweta Ann Jacob

Link Prediction Based on Graph Neural Networks

Nov 19, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Shweta Ann Jacob

Strategies For Pre-Training Graph Neural Networks

Nov 26, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Paul Louis

Graph Neural Architecture Search

Dec 3, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Paul Louis

A Multi-Scale Approach for Graph Link Prediction

Dec 10, 2021 12:00 PM — 1:00 PM Google Meet Discussion Lead : Shweta Ann Jacob

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Jan 21, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Issac Ogunmola

GraphSAINT: Graph Sampling Based Inductive Learning Method

Jan 28, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

Feb 4, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Graph Condensation for Graph Neural Networks

Feb 11, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Rui David

Dynamic Model Pruning with Feedback

Feb 18, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Issac Ogunmola

Deep Graph Neural Networks with Shallow Subgraph Samplers

Feb 25, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Graph Differentiable Architecture Search with Structure Learning

Mar 4, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Rui David

DROPEDGE: Towards Deep Graph Convolutional Networks On Node Classification

Mar 11, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Stochastic Training of Graph Convolutional Networks with Variance Reduction

Mar 25, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning

Apr 1, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

The More You Know: Using Knowledge Graphs for Image Classification

Apr 8, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Daniel Boctor

Pairwise Learning for Neural Link Prediction

Apr 22, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

May 13, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Edge Proposal Sets for Link Prediction

May 20, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Counterfactual Graph Learning for Link Prediction

Jun 7, 2022 11:30 AM — 12:30 PM Google Meet Discussion Lead : Shweta Ann Jacob

SIGN: Scalable Inception Graph Neural Networks

Jun 10, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

BNS-GCN: Efficient Full-graph Training Of Graph Convolutional Networks With Partition-parallelism And Random Boundary Node Sampling

Jun 14, 2022 11:30 AM — 12:30 PM Google Meet Discussion Lead : Shweta Ann Jacob

Dynamic Routing Between Capsules

Jun 17, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Amirali Abari

GLASS: GNN with Labeling Tricks for Subgraph Representation Learning

Jun 22, 2022 11:30 AM — 12:30 PM Google Meet Discussion Lead : Shweta Ann Jacob

Inductive Link Prediction for Nodes Having Only Attribute Information

Jun 24, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Parisa Salmani

Decoupling the Depth and Scope of Graph Neural Networks

Jun 29, 2022 11:30 AM — 12:30 PM Google Meet Discussion Lead : Rui David

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction

Jul 6, 2022 11:30 AM — 12:30 PM Google Meet Discussion Lead : Paul Louis

A Simple Framework for Contrastive Learning of Visual Representations

Jul 8, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Amirali Abari

An End-to-End Deep Learning Architecture for Graph Classification

Jul 13, 2022 11:30 AM — 12:30 PM Google Meet Discussion Lead : Paul Louis

Supervised Consrastive Learning

Jul 15, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Amirali Abari

Neural Link Prediction with Walk Pooling

Jul 20, 2022 11:30 AM — 12:30 PM Google Meet Discussion Lead : Paul Louis

Representation Learning on Graphs with Jumping Knowledge Networks

Jul 22, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Understanding Black-box Predictions via Influence Functions

Jul 27, 2022 11:30 AM — 12:30 PM Google Meet Discussion Lead : Rui David

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Jul 29, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Weisfeiler-Lehman Neural Machine for Link Prediction

Sep 9, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Self-Attention Graph Pooling

Sep 16, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

GLSearch: Maximum Common Subgraph Detection via Learning to Search

Sep 23, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Parisa Salmani

Link Prediction with Persistent Homology: An Interactive View

Sep 30, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Graph Neural Networks for Link Prediction with Subgraph Sketching

Oct 7, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Oct 14, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Spectral Clustering with Graph Neural Networks for Graph Pooling

Oct 21, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Parisa Salmani

Hyperspherical Variational Auto-Encoders

Oct 28, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Hierarchical Graph Representation Learning with Differentiable Pooling

Nov 11, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Position-Aware Subgraph Neural Networks with Data-Efficient Learning

Nov 18, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Boosting the Cycle Counting Power of Graph Neural Networks with I^2-GNNs

Nov 25, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Parisa Salmani

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

Dec 2, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Paul Louis

Multi-Channel Pooling Graph Neural Networks

Dec 16, 2022 10:00 AM — 11:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

Jan 20, 2023 9:00 AM — 10:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Partition and Code: learning how to compress graphs

Jan 27, 2023 9:00 AM — 10:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

How Powerful are K-hop Message Passing Graph Neural Networks

Feb 3, 2023 9:00 AM — 10:00 AM Google Meet Discussion Lead : Paul Louis

Geodesic Graph Neural Network for Efficient Graph Representation Learning

Feb 10, 2023 9:00 AM — 10:00 AM Google Meet Discussion Lead : Shweta Ann Jacob

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-aware Weisfeiler-Lehman

Mar 3, 2023 9:00 AM — 10:00 AM Google Meet Discussion Lead : Paul Louis

Neural Common Neighbor with Completion for Link Prediction

Mar 10, 2023 9:00 AM — 10:00 AM Google Meet Discussion Lead : Paul Louis

Reconciling modern machine-learning practice and the classical bias-variance trade-off

Mar 24, 2023 9:00 AM — 10:00 AM Google Meet Discussion Lead : Amirali Abari

On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features

Mar 31, 2023 9:00 AM — 10:00 AM Google Meet Discussion Lead : Danial Saber

GNN Review (Chapters 5 and 6)

May 4, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

Weisfeiler and Lehman Go Neural: Higher-order Graph Neural Networks

May 11, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

Theoretical Motivations in GNNs (Chapter 7)

May 18, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

A New Perspective on How Graph Neural Networks Go Beyond Weisfeiler-Lehman

May 25, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

Deep Generative Models for GNNs (Chatper 9)

Jun 1, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

Graph Neural Networks with Adaptive Readouts

Jun 8, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

Attention Is All You Need

Jun 21, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Afrooz Shiekholsami

Geometric Deep Learning (Chatpers 1--3)

Jun 22, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Jun 23, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Afrooz Shiekholsami

S3GC: Scalable Self-Supervised Graph Clustering

Jun 29, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

5 Gs: Grids, Groups, Graphs, Geodeics, and Gauges (Chapter 4)

Jul 6, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

Memory-Based Graph Networks

Jul 13, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

Geometric Deep Learning Models (Chapter 5)

Jul 20, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks

Jul 27, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

Probelms and Applicaitons of GDL (Chapters 6 and 7)

Aug 3, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

Supervised Community Detection with Line Graph Neural Networks

Sep 14, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Arash Zarrin nia

How Attentive are Graph Neural Networks?

Sep 21, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

GOAT: A Global Transformer on Large-scale Graphs

Sep 28, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirhosein Ebrahimi

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Oct 5, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Afrooz Sheikholeslami

Nested Graph Neural Networks

Oct 12, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

Self-Attention Graph Pooling

Oct 19, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirhosein Ebrahimi

Pure Transformers Are Powerful Graph Learners

Oct 26, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Afrooz Sheikholeslami

Rethinking the Expressive Power of GNNs via Graph Bioconnectivity

Nov 2, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Saber

Graph Neural Networks with Learnable Structural and Positional Representations

Nov 9, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Arash Zarrin nia

Benchmarking Graph Neural Networks

Nov 16, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Arash Zarrin nia

Path Neural Networks: Expressive and Accurate Graph Neural Networks

Nov 23, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Danial Sabar

Can Strong Structural Encoding Reduce the Importance of Message Passing?

Nov 30, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

Neural Common Neighbor with Completion for Link Prediction

Dec 5, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Madhav Goyani

GRAND: Graph Neural Diffusion

Dec 7, 2023 11:00 AM — 12:00 PM Google Meet Discussion Lead : Amirali Abari

Position-Aware Graph Neural Networks

Jan 11, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Danial Saber

Rethinking Graph Transformers with Spectral Attention

Jan 18, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Arash Zarrin nia

Recipe for a General, Powerful, Scalable Graph Transformer

Jan 25, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Danial Saber

Accurate Learning of Graph Representations with Graph Multiset Pooling

Feb 8, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Amirhosein Ebrahimi

Sign and Basis Invariant Networks for Spectral Graph Representation Learning

Feb 15, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Madhav Goyani

Graph Neural Networks with Learnable Structural and Positional Representations

Feb 22, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Parsa Memarzadeh

Structural Entropy Guided Graph Hierarchical Pooling

Feb 29, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Arash Zarrin nia

Equivariant and Stable Positional Encoding for more Powerful Graph Neural Networks

Mar 28, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Madhav Goyani

Graph Positional Encoding via Random Feature Propagation

Apr 4, 2024 11:30 AM — 12:30 PM Google Meet Discussion Lead : Amirhosein Ebrahimi

Hierarchical Graph Representation Learning with Differentiable Pooling

Apr 19, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa Memarzadeh

Adaptive Structure-aware Pooling for Learning Hierarchical Graph Representations

Apr 26, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa Memarzadeh

Graph U-Nets

May 3, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa Memarzadeh

On The Bottleneck Of Graph Neural Networks And Its Practical Implications

May 17, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Active Learning for Graph Embedding

May 24, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Madhav

Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts

May 31, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Ifeanyi

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology

Jun 7, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Fast and Accurate Active Learning Framework for GCNs

Jun 14, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Madhav

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

Jun 21, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Ifeanyi

Understanding Oversquashing in GNNs through the Lens of Effective Resistance

Jun 28, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Latent Space Clustering-Based Active Learning for Node Classification

Jul 5, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Madhav

Improving Graph Neural Networks with Simple Architecture Design

Jul 12, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Ifeanyi

Equivariant Subgraph Aggregation Networks

Jul 19, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Information Gain Propagation: A New Way To Graph Active Learning With Soft Labels

Jul 26, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Madhav

Understanding Over-squashing and Bottlenecks on Graphs via Curvature

Sep 27, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Graph Attention Networks

Oct 4, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa

Locality-aware Graph Rewiring in GNNs

Oct 11, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Structure-Aware Convolutional Neural Networks.

Oct 18, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring

Oct 25, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Graph Partition Neural Networks for Semi-Supervised Classification

Nov 1, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa

DRew: Dynamically Rewired Message Passing with Delay

Nov 8, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Graph Transformer Networks

Nov 15, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa

Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity

Nov 22, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

How Powerful are GNNs?

Nov 29, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa

Generative Models for Graph-based Protein Design

Dec 6, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Danial

Type-aware Anchor Link Prediction across Heterogeneous Networks based on Graph Attention Network

Dec 13, 2024 11:00 AM — 12:30 PM Google Meet Discussion Lead : Parsa